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RawTherapee/rtengine/ipwavelet.cc

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////////////////////////////////////////////////////////////////
//
//
//
//
// code dated: 9 , 2019
//
// Ipwaveletcc is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program. If not, see <https://www.gnu.org/licenses/>.
// * 2014 - 2019 2020 - Jacques Desmis <jdesmis@gmail.com>
// * 2014 Ingo Weyrich <heckflosse@i-weyrich.de>
//
////////////////////////////////////////////////////////////////
#include <cassert>
#include <cmath>
#include "array2D.h"
#include "color.h"
#include "curves.h"
#include "EdgePreservingDecomposition.h"
#include "iccstore.h"
#include "improcfun.h"
#include "imagefloat.h"
#include "labimage.h"
#include "gauss.h"
#include "boxblur.h"
#include "LUT.h"
#include "median.h"
#include "opthelper.h"
#include "procparams.h"
#include "rt_math.h"
#include "rtengine.h"
#include "sleef.h"
#include "../rtgui/options.h"
#include "guidedfilter.h"
#ifdef _OPENMP
#include <omp.h>
#endif
#include "cplx_wavelet_dec.h"
#define BENCHMARK
#include "StopWatch.h"
namespace rtengine
{
struct cont_params {
float mul[10];
float sigm;
int chrom;
int chro;
float chrwav;
int contrast;
float th;
float thH;
float conres;
float conresH;
float blurres;
float blurcres;
float bluwav;
float radius;
float chrores;
bool oldsh;
float hueres;
float sky;
float b_l, t_l, b_r, t_r;
float b_ly, t_ly, b_ry, t_ry;
float b_lsl, t_lsl, b_rsl, t_rsl;
float b_lhl, t_lhl, b_rhl, t_rhl;
float edg_low, edg_mean, edg_sd, edg_max;
float lev0s, lev0n, lev1s, lev1n, lev2s, lev2n, lev3s, lev3n, lev4n, lev4t;
float b_lpast, t_lpast, b_rpast, t_rpast;
float b_lsat, t_lsat, b_rsat, t_rsat;
int rad;
float eff;
int val;
int til;
int numlevH, numlevS;
float mulC[9];
float mulopaRG[9];
float mulopaBY[9];
bool curv;
bool opaBY;
bool opaRG;
bool edgcurv;
bool diagcurv;
bool denoicurv;
bool denoicurvh;
int CHmet;
int CHSLmet;
int EDmet;
bool HSmet;
bool avoi;
float strength;
int reinforce;
bool detectedge;
int backm;
float eddet;
float eddetthr;
float eddetthrHi;
bool link;
bool lip3;
bool tonemap;
bool diag;
float tmstrength;
float balan;
float sigmafin;
float sigmaton;
float sigmacol;
float sigmadir;
int denmet;
int mixmet;
int quamet;
int slimet;
int ite;
int contmet;
bool opaW;
int BAmet;
bool bam;
float blhigh;
float grhigh;
float blmed;
float grmed;
float bllow;
float grlow;
bool cbena;
bool contena;
bool chromena;
bool edgeena;
bool resena;
bool finena;
bool toningena;
bool noiseena;
bool blena;
int maxilev;
float edgsens;
float edgampl;
int neigh;
bool lipp;
float ballum;
float balchrom;
float chromfi;
float chromco;
float factor;
float scaling;
float scaledirect;
float a_scale;
float a_base;
float b_scale;
float b_base;
float a_high;
float a_low;
float b_high;
float b_low;
float rangeab;
float protab;
float sigmm;
float sigmm14;
float sigmm56;
float levden;
float thrden;
float limden;
int complex;
};
int wavNestedLevels = 1;
std::unique_ptr<LUTf> ImProcFunctions::buildMeaLut(const float inVals[11], const float mea[10], float& lutFactor)
{
constexpr int lutSize = 100;
const float lutMax = std::ceil(mea[9]);
const float lutDiff = lutMax / lutSize;
std::vector<float> lutVals(lutSize);
int jStart = 1;
for (int i = 0; i < lutSize; ++i) {
const float val = i * lutDiff;
if (val < mea[0]) {
// still < first value => no interpolation
lutVals[i] = inVals[0];
} else {
for (int j = jStart; j < 10; ++j) {
if (val == mea[j]) {
// exact match => no interpolation
lutVals[i] = inVals[j];
++jStart;
break;
}
if (val < mea[j]) {
// interpolate
const float dist = (val - mea[j - 1]) / (mea[j] - mea[j - 1]);
lutVals[i] = rtengine::intp(dist, inVals[j], inVals[j - 1]);
break;
}
lutVals[i] = inVals[10];
}
}
}
lutFactor = lutDiff == 0.f ? 0.f : 1.f / lutDiff;
return std::unique_ptr<LUTf>(new LUTf(lutVals));
}
void ImProcFunctions::ip_wavelet(LabImage * lab, LabImage * dst, int kall, const procparams::WaveletParams & waparams, const WavCurve & wavCLVCcurve, const WavCurve & wavdenoise, WavCurve & wavdenoiseh, const Wavblcurve & wavblcurve, const WavOpacityCurveRG & waOpacityCurveRG, const WavOpacityCurveSH & waOpacityCurveSH, const WavOpacityCurveBY & waOpacityCurveBY, const WavOpacityCurveW & waOpacityCurveW, const WavOpacityCurveWL & waOpacityCurveWL, const LUTf &wavclCurve, int skip)
{
TMatrix wiprof = ICCStore::getInstance()->workingSpaceInverseMatrix(params->icm.workingProfile);
const double wip[3][3] = {
{wiprof[0][0], wiprof[0][1], wiprof[0][2]},
{wiprof[1][0], wiprof[1][1], wiprof[1][2]},
{wiprof[2][0], wiprof[2][1], wiprof[2][2]}
};
const int imheight = lab->H, imwidth = lab->W;
int levwavL;
//Flat curve for H=f(H) in final touchup for guidedfilter
FlatCurve* wavguidCurve = new FlatCurve(params->wavelet.wavguidcurve); //curve H=f(H)
bool wavguidutili = false;
if (!wavguidCurve || wavguidCurve->isIdentity()) {
if (wavguidCurve) {
delete wavguidCurve;
wavguidCurve = nullptr;
}
} else {
wavguidutili = true;
}
//flat curve for equalizer H
FlatCurve* wavhueCurve = new FlatCurve(params->wavelet.wavhuecurve); //curve H=f(H)
bool wavhueutili = false;
if (!wavhueCurve || wavhueCurve->isIdentity()) {
if (wavhueCurve) {
delete wavhueCurve;
wavhueCurve = nullptr;
}
} else {
wavhueutili = true;
}
struct cont_params cp;
cp.avoi = params->wavelet.avoid;
if (params->wavelet.complexmethod == "normal") {
cp.complex = 0;
} else if (params->wavelet.complexmethod == "expert") {
cp.complex = 1;
}
if (params->wavelet.Medgreinf == "more") {
cp.reinforce = 1;
} else if (params->wavelet.Medgreinf == "none") {
cp.reinforce = 2;
} else if (params->wavelet.Medgreinf == "less") {
cp.reinforce = 3;
}
if (params->wavelet.NPmethod == "none") {
cp.lip3 = false;
} else if (params->wavelet.NPmethod == "low") {
cp.lip3 = true;
cp.neigh = 0;
} else if (params->wavelet.NPmethod == "high") {
cp.lip3 = true;
cp.neigh = 1;
}
cp.lipp = params->wavelet.lipst;
cp.diag = params->wavelet.tmr;
cp.balan = (float)params->wavelet.balance;
cp.ite = params->wavelet.iter;
cp.tonemap = params->wavelet.tmrs != 0;
cp.bam = false;
cp.sigmafin = params->wavelet.sigmafin;
cp.sigmaton = params->wavelet.sigmaton;
cp.sigmacol = params->wavelet.sigmacol;
cp.sigmadir = params->wavelet.sigmadir;
cp.sigmm = params->wavelet.sigm;
cp.levden = params->wavelet.levden;
cp.thrden = 0.01f * params->wavelet.thrden;
cp.limden = params->wavelet.limden;
if (params->wavelet.TMmethod == "cont") {
cp.contmet = 1;
} else if (params->wavelet.TMmethod == "tm") {
cp.contmet = 2;
}
if (params->wavelet.denmethod == "equ") {
cp.denmet = 0;
} else if (params->wavelet.denmethod == "high") {
cp.denmet = 1;
} else if (params->wavelet.denmethod == "low") {
cp.denmet = 2;
} else if (params->wavelet.denmethod == "12high") {
cp.denmet = 3;
} else if (params->wavelet.denmethod == "12low") {
cp.denmet = 4;
}
if (params->wavelet.mixmethod == "nois") {
cp.mixmet = 0;
} else if (params->wavelet.mixmethod == "mix") {
cp.mixmet = 1;
} else if (params->wavelet.mixmethod == "mix7") {
cp.mixmet = 2;
} else if (params->wavelet.mixmethod == "den") {
cp.mixmet = 3;
}
if (params->wavelet.quamethod == "cons") {
cp.quamet = 0;
} else if (params->wavelet.quamethod == "agre") {
cp.quamet = 1;
}
if (params->wavelet.slimethod == "sli") {
cp.slimet = 0;
} else if (params->wavelet.slimethod == "cur") {
cp.slimet = 1;
}
if (params->wavelet.BAmethod != "none") {
cp.bam = true;
if (params->wavelet.BAmethod == "sli") {
cp.BAmet = 1;
} else if (params->wavelet.BAmethod == "cur") {
cp.BAmet = 2;
}
}
cp.sigm = params->wavelet.sigma;
cp.tmstrength = params->wavelet.tmrs;
cp.contena = params->wavelet.expcontrast;
cp.chromena = params->wavelet.expchroma;
cp.edgeena = params->wavelet.expedge;
cp.resena = params->wavelet.expresid;
cp.finena = params->wavelet.expfinal;
cp.toningena = params->wavelet.exptoning;
cp.noiseena = params->wavelet.expnoise;
cp.blena = params->wavelet.expbl;
cp.chrwav = 0.01f * params->wavelet.chrwav;
if (params->wavelet.Backmethod == "black") {
cp.backm = 0;
} else if (params->wavelet.Backmethod == "grey") {
cp.backm = 1;
} else if (params->wavelet.Backmethod == "resid") {
cp.backm = 2;
}
cp.link = params->wavelet.linkedg;
cp.eddet = (float) params->wavelet.edgedetect;
cp.eddetthr = (float) params->wavelet.edgedetectthr;
cp.eddetthrHi = (float) params->wavelet.edgedetectthr2;
cp.edgsens = 60.f;
cp.edgampl = 10.f;
if (cp.lipp) {
cp.edgsens = (float) params->wavelet.edgesensi;
cp.edgampl = (float) params->wavelet.edgeampli;
}
const int maxmul = params->wavelet.thres;
cp.maxilev = maxmul;
static const float scales[10] = {1.f, 2.f, 4.f, 8.f, 16.f, 32.f, 64.f, 128.f, 256.f, 512.f};
float scaleskip[10];
for (int sc = 0; sc < 10; sc++) {
scaleskip[sc] = scales[sc] / skip;
}
constexpr float atten0 = 0.40f;
constexpr float atten123 = 0.90f;
//int DaubLen = settings->daubech ? 8 : 6;
int DaubLen;
if (params->wavelet.daubcoeffmethod == "2_") {
DaubLen = 4;
} else if (params->wavelet.daubcoeffmethod == "4_") {
DaubLen = 6;
} else if (params->wavelet.daubcoeffmethod == "6_") {
DaubLen = 8;
} else if (params->wavelet.daubcoeffmethod == "10_") {
DaubLen = 12;
} else { /* if (params->wavelet.daubcoeffmethod == "14_") */
DaubLen = 16;
}
cp.CHSLmet = 1;
cp.EDmet = 2;
/*
if (params->wavelet.EDmethod == "SL") {
cp.EDmet = 1;
} else if (params->wavelet.EDmethod == "CU") {
cp.EDmet = 2;
}
*/
cp.cbena = params->wavelet.cbenab;
cp.blhigh = (float)params->wavelet.bluehigh;
cp.grhigh = (float)params->wavelet.greenhigh;
cp.blmed = (float)params->wavelet.bluemed;
cp.grmed = (float)params->wavelet.greenmed;
cp.bllow = (float)params->wavelet.bluelow;
cp.grlow = (float)params->wavelet.greenlow;
cp.curv = false;
cp.edgcurv = false;
cp.diagcurv = false;
cp.denoicurv = false;
cp.denoicurvh = false;
cp.opaRG = false;
cp.opaBY = false;
cp.opaW = false;
cp.CHmet = 0;
cp.HSmet = false;
if (params->wavelet.CHmethod == "with") {
cp.CHmet = 1;
} else if (params->wavelet.CHmethod == "link") {
cp.CHmet = 2;
}
if (params->wavelet.HSmethod == "with") {
cp.HSmet = true;
}
cp.strength = rtengine::min(1.f, rtengine::max(0.f, ((float)params->wavelet.strength / 100.f)));
for (int m = 0; m < maxmul; m++) {
cp.mulC[m] = waparams.ch[m];
}
for (int m = maxmul; m < 9; m++) {
cp.mulC[m] = 0.f;
}
//printf("maxmul=%i\n", maxmul);
cp.factor = WaveletParams::LABGRID_CORR_MAX * 3.276f;
cp.scaling = WaveletParams::LABGRID_CORR_SCALE;
cp.scaledirect = WaveletParams::LABGRIDL_DIRECT_SCALE;
cp.a_scale = (params->wavelet.labgridAHigh - params->wavelet.labgridALow) / cp.factor / cp.scaling;
cp.a_base = params->wavelet.labgridALow / cp.scaling;
cp.b_scale = (params->wavelet.labgridBHigh - params->wavelet.labgridBLow) / cp.factor / cp.scaling;
cp.b_base = params->wavelet.labgridBLow / cp.scaling;
cp.a_high = 3.276f * params->wavelet.labgridAHigh;
cp.a_low = 3.276f * params->wavelet.labgridALow;
cp.b_high = 3.276f * params->wavelet.labgridBHigh;
cp.b_low = 3.276f * params->wavelet.labgridBLow;
cp.rangeab = params->wavelet.rangeab;
cp.protab = params->wavelet.protab;
if (waOpacityCurveRG) {
cp.opaRG = true;
}
if (cp.opaRG) {
cp.mulopaRG[0] = 200.f * (waOpacityCurveRG[0] - 0.5f);
cp.mulopaRG[1] = 200.f * (waOpacityCurveRG[62] - 0.5f);
cp.mulopaRG[2] = 200.f * (waOpacityCurveRG[125] - 0.5f);
cp.mulopaRG[3] = 200.f * (waOpacityCurveRG[187] - 0.5f);
cp.mulopaRG[4] = 200.f * (waOpacityCurveRG[250] - 0.5f);
cp.mulopaRG[5] = 200.f * (waOpacityCurveRG[312] - 0.5f);
cp.mulopaRG[6] = 200.f * (waOpacityCurveRG[375] - 0.5f);
cp.mulopaRG[7] = 200.f * (waOpacityCurveRG[438] - 0.5f);
cp.mulopaRG[8] = 200.f * (waOpacityCurveRG[500] - 0.5f);
} else {
for (int level = 0; level < 9; level++) {
cp.mulopaRG[level] = 0.f;
}
}
if (waOpacityCurveBY) {
cp.opaBY = true;
}
if (cp.opaBY) {
cp.mulopaBY[0] = 200.f * (waOpacityCurveBY[0] - 0.5f);
cp.mulopaBY[1] = 200.f * (waOpacityCurveBY[62] - 0.5f);
cp.mulopaBY[2] = 200.f * (waOpacityCurveBY[125] - 0.5f);
cp.mulopaBY[3] = 200.f * (waOpacityCurveBY[187] - 0.5f);
cp.mulopaBY[4] = 200.f * (waOpacityCurveBY[250] - 0.5f);
cp.mulopaBY[5] = 200.f * (waOpacityCurveBY[312] - 0.5f);
cp.mulopaBY[6] = 200.f * (waOpacityCurveBY[375] - 0.5f);
cp.mulopaBY[7] = 200.f * (waOpacityCurveBY[438] - 0.5f);
cp.mulopaBY[8] = 200.f * (waOpacityCurveBY[500] - 0.5f);
} else {
for (int level = 0; level < 9; level++) {
cp.mulopaBY[level] = 0.f;
}
}
if (wavCLVCcurve) {
cp.edgcurv = true;
}
if (waOpacityCurveWL) {
cp.diagcurv = true;
}
if (wavdenoise) {
for (int i = 0; i < 500; i++) {
if (wavdenoise[i] != 1.0) {
cp.denoicurv = true;
break;
}
}
}
if(cp.complex == 0) {
wavdenoiseh = wavdenoise;
}
if (wavdenoiseh) {
for (int i = 0; i < 500; i++) {
if (wavdenoiseh[i] != 1.0) {
cp.denoicurvh = true;
break;
}
}
}
for (int m = 0; m < maxmul; m++) {
cp.mul[m] = waparams.c[m];
}
for (int m = maxmul; m < 10; m++) {
cp.mul[m] = 0.f;
}
cp.mul[9] = (float) waparams.sup;
for (int sc = 0; sc < 10; sc++) { //reduce strength if zoom < 100% for contrast
if (sc == 0) {
if (scaleskip[sc] < 1.f) {
cp.mul[sc] *= (atten0 * scaleskip[sc]);
}
} else {
if (scaleskip[sc] < 1.f) {
cp.mul[sc] *= (atten123 * scaleskip[sc]);
}
}
}
for (int sc = 0; sc < 9; sc++) { //reduce strength if zoom < 100% for chroma and tuning
if (sc == 0) {
if (scaleskip[sc] < 1.f) {
cp.mulC[sc] *= (atten0 * scaleskip[sc]);
cp.mulopaRG[sc] *= (atten0 * scaleskip[sc]);
cp.mulopaBY[sc] *= (atten0 * scaleskip[sc]);
}
} else {
if (scaleskip[sc] < 1.f) {
cp.mulC[sc] *= (atten123 * scaleskip[sc]);
cp.mulopaRG[sc] *= (atten123 * scaleskip[sc]);
cp.mulopaBY[sc] *= (atten123 * scaleskip[sc]);
}
}
}
cp.chro = waparams.chro;
cp.chrom = waparams.chroma;
cp.contrast = waparams.contrast;
cp.rad = waparams.edgrad;
cp.val = waparams.edgval;
cp.til = waparams.edgthresh;
cp.eff = waparams.edgeffect;
cp.balchrom = waparams.balchrom;
cp.chromfi = 0.1f * waparams.chromfi;
cp.chromco = 0.1f * waparams.chromco;
cp.ballum = waparams.ballum;
cp.conres = waparams.rescon;
cp.conresH = waparams.resconH;
cp.radius = waparams.radius;
cp.chrores = waparams.reschro;
cp.oldsh = waparams.oldsh;
cp.blurres = waparams.resblur;
cp.blurcres = waparams.resblurc;
cp.bluwav = waparams.bluwav;
//cp.hueres=waparams.reshue;
cp.hueres = 2.f;
cp.th = float(waparams.thr);
cp.thH = float(waparams.thrH);
cp.sky = waparams.sky;
//skin
cp.b_l = static_cast<float>(params->wavelet.hueskin.getBottomLeft()) / 100.0f;
cp.t_l = static_cast<float>(params->wavelet.hueskin.getTopLeft()) / 100.0f;
cp.b_r = static_cast<float>(params->wavelet.hueskin.getBottomRight()) / 100.0f;
cp.t_r = static_cast<float>(params->wavelet.hueskin.getTopRight()) / 100.0f;
cp.b_ly = static_cast<float>(params->wavelet.hueskin2.getBottomLeft()) / 100.0f;
cp.t_ly = static_cast<float>(params->wavelet.hueskin2.getTopLeft()) / 100.0f;
cp.b_ry = static_cast<float>(params->wavelet.hueskin2.getBottomRight()) / 100.0f;
cp.t_ry = static_cast<float>(params->wavelet.hueskin2.getTopRight()) / 100.0f;
cp.numlevH = params->wavelet.threshold -1;
//shadows
cp.b_lsl = static_cast<float>(params->wavelet.bllev.getBottomLeft());
cp.t_lsl = static_cast<float>(params->wavelet.bllev.getTopLeft());
cp.b_rsl = static_cast<float>(params->wavelet.bllev.getBottomRight());
cp.t_rsl = static_cast<float>(params->wavelet.bllev.getTopRight());
cp.numlevS = params->wavelet.threshold2; //rtengine::max(cp.numlevS, maxlevS);
//highlight
cp.b_lhl = static_cast<float>(params->wavelet.hllev.getBottomLeft());
cp.t_lhl = static_cast<float>(params->wavelet.hllev.getTopLeft());
cp.b_rhl = static_cast<float>(params->wavelet.hllev.getBottomRight());
cp.t_rhl = static_cast<float>(params->wavelet.hllev.getTopRight());
//pastel
cp.b_lpast = static_cast<float>(params->wavelet.pastlev.getBottomLeft());
cp.t_lpast = static_cast<float>(params->wavelet.pastlev.getTopLeft());
cp.b_rpast = static_cast<float>(params->wavelet.pastlev.getBottomRight());
cp.t_rpast = static_cast<float>(params->wavelet.pastlev.getTopRight());
//saturated
cp.b_lsat = static_cast<float>(params->wavelet.satlev.getBottomLeft());
cp.t_lsat = static_cast<float>(params->wavelet.satlev.getTopLeft());
cp.b_rsat = static_cast<float>(params->wavelet.satlev.getBottomRight());
cp.t_rsat = static_cast<float>(params->wavelet.satlev.getTopRight());
//edge local contrast
cp.edg_low = static_cast<float>(params->wavelet.edgcont.getBottomLeft());
cp.edg_mean = static_cast<float>(params->wavelet.edgcont.getTopLeft());
cp.edg_max = static_cast<float>(params->wavelet.edgcont.getBottomRight());
cp.edg_sd = static_cast<float>(params->wavelet.edgcont.getTopRight());
//level noise
cp.lev0s = static_cast<float>(params->wavelet.level0noise.getBottom());
cp.lev0n = static_cast<float>(params->wavelet.level0noise.getTop());
cp.lev1s = static_cast<float>(params->wavelet.level1noise.getBottom());
cp.lev1n = static_cast<float>(params->wavelet.level1noise.getTop());
cp.lev2s = static_cast<float>(params->wavelet.level2noise.getBottom());
cp.lev2n = static_cast<float>(params->wavelet.level2noise.getTop());
cp.lev3s = static_cast<float>(params->wavelet.level3noise.getBottom());
cp.lev3n = static_cast<float>(params->wavelet.level3noise.getTop());
cp.lev4n = static_cast<float>(params->wavelet.leveldenoise.getTop());
cp.lev4t = 0.01f * static_cast<float>(params->wavelet.leveldenoise.getBottom());
cp.sigmm14 = static_cast<float>(params->wavelet.levelsigm.getTop());
cp.sigmm56 = static_cast<float>(params->wavelet.levelsigm.getBottom());
cp.detectedge = params->wavelet.medianlev;
int minwin = rtengine::min(imwidth, imheight);
int maxlevelcrop = 9;
if (cp.mul[9] != 0) {
maxlevelcrop = 10;
}
// adap maximum level wavelet to size of crop
if (minwin * skip < 1024) {
maxlevelcrop = 9; //sampling wavelet 512
}
if (minwin * skip < 512) {
maxlevelcrop = 8; //sampling wavelet 256
}
if (minwin * skip < 256) {
maxlevelcrop = 7; //sampling 128
}
if (minwin * skip < 128) {
maxlevelcrop = 6;
}
if (minwin * skip < 64) {
maxlevelcrop = 5;
}
if (minwin * skip < 32) {
maxlevelcrop = 4;
}
int levwav = params->wavelet.thres;
if(params->wavelet.expnoise) {
levwav = 6;
}
if (levwav == 9 && cp.mul[9] != 0) {
levwav = 10;
}
levwav = rtengine::min(maxlevelcrop, levwav);
// I suppress this fonctionality ==> crash for level < 3
if (levwav < 1) {
return; // nothing to do
}
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
// begin tile processing of image
//output buffer
int realtile = 0;
if (params->wavelet.Tilesmethod == "big") {
realtile = 22;
}
/*
if (params->wavelet.Tilesmethod == "lit") {
realtile = 12;
}
*/
int tilesize = 128 * realtile;
int overlap = (int) tilesize * 0.125f;
int numtiles_W, numtiles_H, tilewidth, tileheight, tileWskip, tileHskip;
if (params->wavelet.Tilesmethod == "full") {
kall = 0;
}
Tile_calc(tilesize, overlap, kall, imwidth, imheight, numtiles_W, numtiles_H, tilewidth, tileheight, tileWskip, tileHskip);
const int numtiles = numtiles_W * numtiles_H;
LabImage * dsttmp;
if (numtiles == 1) {
dsttmp = dst;
} else {
dsttmp = new LabImage(imwidth, imheight);
for (int n = 0; n < 3 * imwidth * imheight; n++) {
dsttmp->data[n] = 0;
}
}
//now we have tile dimensions, overlaps
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
int minsizetile = rtengine::min(tilewidth, tileheight);
int maxlev2 = 10;
if (minsizetile < 1024 && levwav == 10) {
maxlev2 = 9;
}
if (minsizetile < 512) {
maxlev2 = 8;
}
if (minsizetile < 256) {
maxlev2 = 7;
}
if (minsizetile < 128) {
maxlev2 = 6;
}
if (minsizetile < 64) {
maxlev2 = 5;
}
if (minsizetile < 32) {
maxlev2 = 4;
}
levwav = rtengine::min(maxlev2, levwav);
#ifdef _OPENMP
int numthreads = 1;
int maxnumberofthreadsforwavelet = 0;
//reduce memory for big tile size
if (kall != 0) {
if (realtile <= 22) {
maxnumberofthreadsforwavelet = 2;
}
if (realtile <= 20) {
maxnumberofthreadsforwavelet = 3;
}
if (realtile <= 18) {
maxnumberofthreadsforwavelet = 4;
}
if (realtile <= 16) {
maxnumberofthreadsforwavelet = 6;
}
if (realtile <= 14) {
maxnumberofthreadsforwavelet = 8;
}
if ((maxnumberofthreadsforwavelet == 6 || maxnumberofthreadsforwavelet == 8) && levwav == 10) {
maxnumberofthreadsforwavelet -= 2;
}
if (levwav <= 7 && maxnumberofthreadsforwavelet == 8) {
maxnumberofthreadsforwavelet = 0;
}
}
// Calculate number of tiles. If less than omp_get_max_threads(), then limit num_threads to number of tiles
if (options.rgbDenoiseThreadLimit > 0) {
maxnumberofthreadsforwavelet = rtengine::LIM(options.rgbDenoiseThreadLimit / 2, 1, maxnumberofthreadsforwavelet);
}
numthreads = rtengine::min(numtiles, omp_get_max_threads());
if (maxnumberofthreadsforwavelet > 0) {
numthreads = rtengine::min(numthreads, maxnumberofthreadsforwavelet);
}
#ifdef _OPENMP
wavNestedLevels = omp_get_max_threads() / numthreads;
bool oldNested = omp_get_nested();
if (wavNestedLevels < 2) {
wavNestedLevels = 1;
} else {
omp_set_nested(true);
}
if (maxnumberofthreadsforwavelet > 0)
while (wavNestedLevels * numthreads > maxnumberofthreadsforwavelet) {
wavNestedLevels--;
}
#endif
if (settings->verbose) {
printf("Ip Wavelet uses %d main thread(s) and up to %d nested thread(s) for each main thread\n", numthreads, wavNestedLevels);
}
#pragma omp parallel num_threads(numthreads)
#endif
{
float mean[10];
float meanN[10];
float sigma[10];
float sigmaN[10];
float MaxP[10];
float MaxN[10];
float meand[10];
float meanNd[10];
float sigmad[10];
float sigmaNd[10];
float MaxPd[10];
float MaxNd[10];
float meanab[10];
float meanNab[10];
float sigmaab[10];
float sigmaNab[10];
float MaxPab[10];
float MaxNab[10];
array2D<float> varchro(tilewidth, tileheight);
float** varhue = new float*[tileheight];
for (int i = 0; i < tileheight; i++) {
varhue[i] = new float[tilewidth];
}
#ifdef _OPENMP
#pragma omp for schedule(dynamic) collapse(2)
#endif
for (int tiletop = 0; tiletop < imheight; tiletop += tileHskip) {
for (int tileleft = 0; tileleft < imwidth ; tileleft += tileWskip) {
int tileright = rtengine::min(imwidth, tileleft + tilewidth);
int tilebottom = rtengine::min(imheight, tiletop + tileheight);
int width = tileright - tileleft;
int height = tilebottom - tiletop;
LabImage * labco;
float **Lold = nullptr;
float *LoldBuffer = nullptr;
if (numtiles == 1) { // untiled processing => we can use output buffer for labco
labco = dst;
if (cp.avoi) { // we need a buffer to hold a copy of the L channel
Lold = new float*[tileheight];
LoldBuffer = new float[tilewidth * tileheight];
memcpy(LoldBuffer, lab->L[0], tilewidth * tileheight * sizeof(float));
for (int i = 0; i < tileheight; i++) {
Lold[i] = LoldBuffer + i * tilewidth;
}
}
} else {
labco = new LabImage(width, height);
Lold = lab->L;
}
#ifdef _OPENMP
#pragma omp parallel for num_threads(wavNestedLevels) if (wavNestedLevels>1)
#endif
for (int i = tiletop; i < tilebottom; i++) {
const int i1 = i - tiletop;
int j = tileleft;
#ifdef __SSE2__
const vfloat c327d68v = F2V(327.68f);
for (; j < tileright - 3; j += 4) {
const int j1 = j - tileleft;
const vfloat av = LVFU(lab->a[i][j]);
const vfloat bv = LVFU(lab->b[i][j]);
STVFU(varhue[i1][j1], xatan2f(bv, av));
STVFU(varchro[i1][j1], vsqrtf(SQRV(av) + SQRV(bv)) / c327d68v);
if (labco != lab) {
STVFU((labco->L[i1][j1]), LVFU(lab->L[i][j]));
STVFU((labco->a[i1][j1]), av);
STVFU((labco->b[i1][j1]), bv);
}
}
#endif
for (; j < tileright; j++) {
const int j1 = j - tileleft;
const float a = lab->a[i][j];
const float b = lab->b[i][j];
varhue[i1][j1] = xatan2f(b, a);
varchro[i1][j1] = (sqrtf(a * a + b * b)) / 327.68f;
if (labco != lab) {
labco->L[i1][j1] = lab->L[i][j];
labco->a[i1][j1] = a;
labco->b[i1][j1] = b;
}
}
}
//to avoid artifacts in blue sky
if (params->wavelet.median) {
float** tmL;
int wid = labco->W;
int hei = labco->H;
int borderL = 1;
tmL = new float*[hei];
for (int i = 0; i < hei; i++) {
tmL[i] = new float[wid];
}
for (int i = borderL; i < hei - borderL; i++) {
for (int j = borderL; j < wid - borderL; j++) {
tmL[i][j] = labco->L[i][j];
}
}
#ifdef _OPENMP
#pragma omp parallel for num_threads(wavNestedLevels) if (wavNestedLevels>1)
#endif
for (int i = 1; i < hei - 1; i++) {
for (int j = 1; j < wid - 1; j++) {
if ((varhue[i][j] < -1.3f && varhue[i][j] > - 2.5f) && (varchro[i][j] > 15.f && varchro[i][j] < 55.f) && labco->L[i][j] > 6000.f) { //blue sky + med3x3 ==> after for more effect use denoise
tmL[i][j] = median(labco->L[i][j], labco->L[i - 1][j], labco->L[i + 1][j], labco->L[i][j + 1], labco->L[i][j - 1], labco->L[i - 1][j - 1], labco->L[i - 1][j + 1], labco->L[i + 1][j - 1], labco->L[i + 1][j + 1]); //3x3
}
}
}
for (int i = borderL; i < hei - borderL; i++) {
for (int j = borderL; j < wid - borderL; j++) {
labco->L[i][j] = tmL[i][j];
}
}
for (int i = 0; i < hei; i++) {
delete [] tmL[i];
}
delete [] tmL;
// end blue sky
}
if (numtiles == 1) {
// reduce the varhue array to get faster access in following processing and reduce peak memory usage
float temphue[(tilewidth + 1) / 2] ALIGNED64;
for (int i = 0; i < (tileheight + 1) / 2; i++) {
for (int j = 0; j < (tilewidth + 1) / 2; j++) {
temphue[j] = varhue[i * 2][j * 2];
}
delete [] varhue[i];
varhue[i] = new float[(tilewidth + 1) / 2];
memcpy(varhue[i], temphue, ((tilewidth + 1) / 2) * sizeof(float));
}
for (int i = (tileheight + 1) / 2; i < tileheight; i++) {
delete [] varhue[i];
varhue[i] = nullptr;
}
} else { // reduce the varhue array to get faster access in following processing
for (int i = 0; i < (tileheight + 1) / 2; i++) {
for (int j = 0; j < (tilewidth + 1) / 2; j++) {
varhue[i][j] = varhue[i * 2][j * 2];
}
}
}
int datalen = labco->W * labco->H;
levwavL = levwav;
bool ref0 = false;
if ((cp.lev0s > 0.f || cp.lev1s > 0.f || cp.lev2s > 0.f || cp.lev3s > 0.f) && cp.noiseena) {
ref0 = true;
}
bool wavcurvecomp = false;//not enable if 0.75
if (wavblcurve) {
for (int i = 0; i < 500; i++) {
if (wavblcurve[i] != 0.) {
wavcurvecomp = true;
}
}
}
bool exblurL = cp.blena && wavcurvecomp;
if (exblurL) {
if (cp.mul[0] == 0.f) {
cp.mul[0] = 0.01f;//to always enable WaveletcontAllL if no contrast is needed
}
}
if (cp.BAmet != 0) {
if (cp.mul[0] == 0.f) {
cp.mul[0] = 0.01f;
}
}
// printf("cp4=%f cpmul5=%f cp6=%f cp7=%f cp8=%f\n", (double)cp.mul[4], (double)cp.mul[5],(double)cp.mul[6],(double)cp.mul[7],(double)cp.mul[8]);
if (levwavL == 6 && cp.noiseena && cp.chromfi == 0.f) {
cp.chromfi = 0.01f;
}
if (cp.chromfi > 0.f || cp.chromco > 0.f) {
if (levwavL < 7) {
levwavL = 7;
}
}
if (levwavL < 5 && cp.noiseena) {
levwavL = 6; //to allow edge and denoise => I always allocate 3 (4) levels..because if user select wavelet it is to do something !!
}
if (!exblurL && cp.contrast == 0.f && cp.blurres == 0.f && !cp.noiseena && !cp.tonemap && !cp.resena && !cp.chromena && !cp.toningena && !cp.finena && !cp.edgeena && cp.conres == 0.f && cp.conresH == 0.f && cp.val == 0 && !ref0 && params->wavelet.CLmethod == "all") { // no processing of residual L or edge=> we probably can reduce the number of levels
while (levwavL > 0 && cp.mul[levwavL - 1] == 0.f) { // cp.mul[level] == 0.f means no changes to level
levwavL--;
}
}
bool isdenoisL = (cp.lev0n > 0.1f || cp.lev1n > 0.1f || cp.lev2n > 0.1f || cp.lev3n > 0.1f || cp.lev4n > 0.1f);
/*
if(cp.denoicurvh || cp.levdenhigh > 0.01f) {
levwavL = levwav;
}
*/
float th = 0.01f * (float) waparams.thrend;
if(th > 0.f) {
levwavL = levwav;
}
bool usechrom = cp.chromfi > 0.f || cp.chromco > 0.f;
levwavL = rtengine::min(maxlevelcrop, levwavL);
levwavL = rtengine::min(maxlev2, levwavL);
if (settings->verbose) {
printf("Level decomp L=%i\n", levwavL);
}
if (levwavL > 0) {
const std::unique_ptr<wavelet_decomposition> Ldecomp(new wavelet_decomposition(labco->data, labco->W, labco->H, levwavL, 1, skip, rtengine::max(1, wavNestedLevels), DaubLen));
// const std::unique_ptr<wavelet_decomposition> Ldecomp2(new wavelet_decomposition(labco->data, labco->W, labco->H, levwavL, 1, skip, rtengine::max(1, wavNestedLevels), DaubLen));
if (!Ldecomp->memory_allocation_failed()) {
float madL[10][3];
// float madL[8][3];
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic) collapse(2) num_threads(wavNestedLevels) if (wavNestedLevels>1)
#endif
for (int lvl = 0; lvl < levwavL; lvl++) {
for (int dir = 1; dir < 4; dir++) {
int Wlvl_L = Ldecomp->level_W(lvl);
int Hlvl_L = Ldecomp->level_H(lvl);
const float* const* WavCoeffs_L = Ldecomp->level_coeffs(lvl);
madL[lvl][dir - 1] = SQR(Mad(WavCoeffs_L[dir], Wlvl_L * Hlvl_L));
if (settings->verbose) {
// printf("Luminance noise estimate (sqr) madL=%.0f lvl=%i dir=%i\n", madL[lvl][dir - 1], lvl, dir - 1);
}
}
}
bool ref = false;
if ((cp.lev0s > 0.f || cp.lev1s > 0.f || cp.lev2s > 0.f || cp.lev3s > 0.f) && cp.noiseena) {
ref = true;
}
bool contr = false;
for (int f = 0; f < levwavL; f++) {
if (cp.mul[f] != 0.f) {
contr = true;
}
}
// if (cp.val > 0 || ref || contr || cp.denoicurv || cp.denoicurvh || cp.noiseena || cp.levdenlow > 0.f || cp.thrden > 0.f ) { //edge
if (cp.val > 0 || ref || contr || cp.denoicurv || cp.denoicurvh || cp.noiseena || cp.thrden > 0.f ) { //edge
Evaluate2(*Ldecomp, mean, meanN, sigma, sigmaN, MaxP, MaxN, wavNestedLevels);
}
//init for edge and denoise
float vari[6];
vari[0] = 0.8f * SQR((cp.lev0n / 125.f) * (1.f + cp.lev0n / 25.f));
vari[1] = 0.8f * SQR((cp.lev1n / 125.f) * (1.f + cp.lev1n / 25.f));
vari[2] = 0.8f * SQR((cp.lev2n / 125.f) * (1.f + cp.lev2n / 25.f));
vari[3] = 0.8f * SQR((cp.lev3n / 125.f) * (1.f + cp.lev3n / 25.f));
vari[4] = 0.8f * SQR((cp.lev4n / 125.f) * (1.f + cp.lev4n / 25.f));
vari[5] = 0.8f * SQR((cp.lev4n / 125.f) * (1.f + cp.lev4n / 25.f));
float kr3 = 1.f;
if (cp.lev3n < 10.f) {
kr3 = 0.3f;
} else if (cp.lev3n < 30.f) {
kr3 = 0.6f;
} else if (cp.lev3n < 70.f) {
kr3 = 0.8f;
} else {
kr3 = 1.f;
}
float kr4 = 1.f;
if (cp.lev4n < 10.f) {
kr4 = 0.6f;
} else if (cp.lev4n < 30.f) {
kr4 = 0.8f;
} else if (cp.lev4n < 70.f) {
kr4 = 0.9f;
} else {
kr4 = 1.f;
}
if ((cp.lev0n > 0.1f || cp.lev1n > 0.1f || cp.lev2n > 0.1f || cp.lev3n > 0.1f || cp.lev4n > 0.1f) && cp.noiseena) {
int edge = 6;
vari[0] = rtengine::max(0.000001f, vari[0]);
vari[1] = rtengine::max(0.000001f, vari[1]);
vari[2] = rtengine::max(0.000001f, vari[2]);
vari[3] = rtengine::max(0.000001f, kr3 * vari[3]);
vari[4] = rtengine::max(0.000001f, kr4 * vari[4]);
vari[5] = rtengine::max(0.000001f, kr4 * vari[5]);
const std::unique_ptr<wavelet_decomposition> Ldecomp2(new wavelet_decomposition(labco->data, labco->W, labco->H, levwavL, 1, skip, rtengine::max(1, wavNestedLevels), DaubLen));
if(!Ldecomp2->memory_allocation_failed()){
if (settings->verbose) {
printf("LUM var0=%f var1=%f var2=%f var3=%f var4=%f\n", vari[0], vari[1], vari[2], vari[3], vari[4]);
}
// float* noisevarlum = nullptr; // we need a dummy to pass it to WaveletDenoiseAllL
int GWL = labco->W;
int GHL = labco->H;
float* noisevarlum = new float[GHL * GWL];
float* noisevarhue = new float[GHL * GWL];
int GW2L = (GWL + 1) / 2;
constexpr float nvlh[13] = {1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 1.f, 0.7f, 0.5f}; //high value
constexpr float nvll[13] = {0.1f, 0.15f, 0.2f, 0.25f, 0.3f, 0.35f, 0.4f, 0.45f, 0.7f, 0.8f, 1.f, 1.f, 1.f}; //low value
constexpr float seuillow = 3000.f;//low
constexpr float seuilhigh = 18000.f;//high
const int index = 10 - cp.ballum;
const float ac = (nvlh[index] - nvll[index]) / (seuillow - seuilhigh);
const float bc = nvlh[index] - seuillow * ac;
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (int ir = 0; ir < GHL; ir++)
for (int jr = 0; jr < GWL; jr++) {
float lN = labco->L[ir][jr];
if (lN < seuillow) {
noisevarlum[(ir >> 1)*GW2L + (jr >> 1)] = nvlh[index];
} else if (lN < seuilhigh) {
noisevarlum[(ir >> 1)*GW2L + (jr >> 1)] = ac * lN + bc;
} else {
noisevarlum[(ir >> 1)*GW2L + (jr >> 1)] = nvll[index];
}
}
if(wavhueutili) {
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (int ir = 0; ir < GHL; ir++)
for (int jr = 0; jr < GWL; jr++) {
float hueG = xatan2f(labco->b[ir][jr], labco->a[ir][jr]);
noisevarhue[(ir >> 1)*GW2L + (jr >> 1)] = 1.f + 2.f * (static_cast<float>(wavhueCurve->getVal(Color::huelab_to_huehsv2(hueG))) - 0.5f);
noisevarlum[(ir >> 1)*GW2L + (jr >> 1)] *= noisevarhue[(ir >> 1)*GW2L + (jr >> 1)];
}
}
if(cp.quamet == 0) {
if (settings->verbose) {
printf("denoise standard L\n");
}
WaveletDenoiseAllL(*Ldecomp, noisevarlum, madL, vari, edge, 1);
} else {
if (settings->verbose) {
printf("denoise bishrink L\n");
}
WaveletDenoiseAll_BiShrinkL(*Ldecomp, noisevarlum, madL, vari, edge, 1);
WaveletDenoiseAllL(*Ldecomp, noisevarlum, madL, vari, edge, 1);
}
delete[] noisevarlum;
//evaluate after denoise
bool exitifzero = true;
Evaluate2(*Ldecomp, meand, meanNd, sigmad, sigmaNd, MaxPd, MaxNd, wavNestedLevels);
for (int dir = 1; dir < 4; dir++) {
for (int level = 0; level < levwavL; level++) {
if(mean[level] < 0.1f || meand[level] < 0.1f || sigma[level] < 0.1f || sigmad[level] < 0.1f) {
printf("near zero - exit\n");
exitifzero = false;
}
}
}
//for level 0 1 2 3
float thr = 0.f;
float thrend = cp.thrden; //cp.levdenlow;
if(thrend < 0.01f) thr = 0.95f;
else if(thrend < 0.02f) thr = 0.9f;
else if(thrend < 0.04f) thr = 0.8f;
else if(thrend < 0.06f) thr = 0.7f;
else if(thrend < 0.08f) thr = 0.6f;
else if(thrend < 0.1f) thr = 0.5f;
else if(thrend < 0.2f) thr = 0.2f;
else thr = 0.f;
FlatCurve wavlow({
FCT_MinMaxCPoints,
0, 1, 0.35, 0.35,thrend, 1.0, 0.35, 0.35, thrend + 0.01f, thr, 0.35, 0.35, 1, thr, 0.35, 0.35
});
//for level 4
float thrhigh = 0.f;
float threndhigh = cp.lev4t; //cp.levdenlow;
if(threndhigh < 0.01f) thrhigh = 0.95f;
else if(threndhigh < 0.02f) thrhigh = 0.9f;
else if(threndhigh < 0.04f) thrhigh = 0.8f;
else if(threndhigh < 0.06f) thrhigh = 0.7f;
else if(threndhigh < 0.08f) thrhigh = 0.6f;
else if(threndhigh < 0.1f) thrhigh = 0.5f;
else thrhigh = 0.f;
FlatCurve wavhigh({
FCT_MinMaxCPoints,
0, 1, 0.35, 0.35,threndhigh, 1.0, 0.35, 0.35, threndhigh + 0.01f, thrhigh, 0.35, 0.35, 1, thrhigh, 0.35, 0.35
});
float thrmed = 0.f;
float threndmed = 1.f - cp.limden;
if(threndmed < 0.02f) thrmed = 0.5f;
else if(threndmed < 0.05f) thrmed = 0.2f;
else thrmed = 0.f;
FlatCurve wavmed({
FCT_MinMaxCPoints,
0, 1, 0.35, 0.35,threndmed, 1.0, 0.35, 0.35, threndmed + 0.01f, thrmed, 0.35, 0.35, 1, thrmed, 0.35, 0.35
});
float siglh[10];
float levref = 6;
//levref = levwavL-1;
if(cp.complex == 1){
for (int level = 0; level < levref; level++) {
if(level > 3) {
siglh[level] = cp.sigmm56;
} else {
siglh[level] = cp.sigmm14;
}
}
} else {
levref = 4;
for (int level = 0; level < levref; level++) {
siglh[level] = cp.sigmm;
}
}
// printf("sig0=%f sig1=%f sig2=%f sig3=%f sig4=%f sig5=%f\n", siglh[0], siglh[1],siglh[2],siglh[3],siglh[4],siglh[5]);
bool execut = false;
if(cp.slimet == 0) {
// if(cp.levdenlow > 0.f) {
if(cp.thrden > 0.f) {
execut = true;
}
} else {
if(cp.denoicurv) {
execut = true;
}
}
// }
if (execut && exitifzero) {
for (int dir = 1; dir < 4; dir++) {
for (int level = 0; level < levref; level++) {
const int Wlvl_L = Ldecomp->level_W(level);
const int Hlvl_L = Ldecomp->level_H(level);
const float* const WavCoeffs_L = Ldecomp->level_coeffs(level)[dir];//first decomp denoised
const float* const WavCoeffs_L2 = Ldecomp2->level_coeffs(level)[dir];//second decomp before denoise
const int k4 = cp.complex == 1 ? 4 : 3;
const int k5 = cp.complex == 1 ? 5 : 3;
auto WavL0 = Ldecomp->level_coeffs(0)[dir];
auto WavL1 = Ldecomp->level_coeffs(1)[dir];
auto WavL2 = Ldecomp->level_coeffs(2)[dir];
auto WavL3 = Ldecomp->level_coeffs(3)[dir];
auto WavL4 = Ldecomp->level_coeffs(k4)[dir];
auto WavL5 = Ldecomp->level_coeffs(k5)[dir];
//not denoise
const auto WavL02 = Ldecomp2->level_coeffs(0)[dir];
const auto WavL12 = Ldecomp2->level_coeffs(1)[dir];
const auto WavL22 = Ldecomp2->level_coeffs(2)[dir];
const auto WavL32 = Ldecomp2->level_coeffs(3)[dir];
const auto WavL42 = Ldecomp2->level_coeffs(k4)[dir];
const auto WavL52 = Ldecomp2->level_coeffs(k5)[dir];
if (settings->verbose) {
printf("level=%i mean=%.0f meanden=%.0f sigma=%.0f sigmaden=%.0f Max=%.0f Maxden=%.0f\n", level, mean[level], meand[level], sigma[level], sigmad[level],MaxP[level], MaxPd[level]);
}
//find local contrast
constexpr float weights[4] = {0.f, 0.5f, 0.7f, 1.f};
const float weightL = weights[rtengine::LIM(cp.mixmet, 0, 3)];
const float tempmean = intp(weightL, meand[level], mean[level]);
const float tempsig = intp(weightL, sigmad[level], sigma[level]);
const float tempmax = intp(weightL, MaxPd[level], MaxP[level]);
if (MaxP[level] > 0.f && mean[level] != 0.f && sigma[level] != 0.f) { //curve
constexpr float insigma = 0.666f; //SD
const float logmax = log(tempmax); //log Max
//cp.sigmm change the "wider" of sigma
const float rapX = (tempmean + siglh[level] * tempsig) / tempmax; //rapport between sD / max
const float inx = log(insigma);
const float iny = log(rapX);
const float rap = inx / iny; //koef
const float asig = 0.166f / (tempsig * siglh[level]);
const float bsig = 0.5f - asig * tempmean;
const float amean = 1.f / tempmean;
//equalizer for levels 0 1 and 3... 1.33 and 0.75 arbitrary values
float kcFactor = 1.f;
if(cp.denmet == 1) {
if(level == 0 || level == 3) {
kcFactor = 1.7f;
}
} else if(cp.denmet == 2) {
if(level == 0 || level == 3) {
kcFactor = 0.3f;
}
} else if(cp.denmet == 3) {
if(level == 0 || level == 1) {
kcFactor = 1.7f;
}
} else if(cp.denmet == 4) {
if(level == 0 || level == 1) {
kcFactor = 0.3f;
}
}
const float k = 1.f / (siglh[level] > 1.f ? SQR(siglh[level]) : siglh[level]);
const float maxVal = tempmean + siglh[level] * tempsig;
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic, Wlvl_L * 16) num_threads(wavNestedLevels) if (wavNestedLevels>1)
#endif
for (int i = 0; i < Wlvl_L * Hlvl_L; i++) {
float absciss;
const float tempwav = std::fabs(intp(weightL, WavCoeffs_L[i], WavCoeffs_L2[i]));
if (tempwav >= maxVal) { //for max
absciss = xexpf((xlogf(tempwav) - logmax) * rap);
} else if (tempwav >= tempmean) {
absciss = asig * tempwav + bsig;
} else {
absciss = 0.5f * pow_F(amean * tempwav, k);
}
float kc;
if (cp.slimet == 0) {
kc = wavlow.getVal(absciss) - 1.f;
} else {
kc = wavdenoise[absciss * 500.f] - 1.f;
}
if (kc < 0) {
kc = -SQR(kc); //approximation to simulate sliders denoise
}
kc *= kcFactor;
const float reduceeffect = kc <= 0.f ? 1.f : 1.2f; //1.2 allows to increase denoise (not used)
if (level < 4) {
float kintermlow = 1.f + reduceeffect * kc;
kintermlow = kintermlow <= 0.f ? 0.01f : kintermlow;
WavL0[i] = WavL02[i] + (WavL0[i] - WavL02[i]) * kintermlow;
WavL1[i] = WavL12[i] + (WavL1[i] - WavL12[i]) * kintermlow;
WavL2[i] = WavL22[i] + (WavL2[i] - WavL22[i]) * kintermlow;
WavL3[i] = WavL32[i] + (WavL3[i] - WavL32[i]) * kintermlow;
}
if (cp.complex == 1){
if (cp.limden > 0.f) {
const float kcmed = -SQR(wavmed.getVal(absciss) - 1.f);
float kintermed = 1.f + reduceeffect * kcmed;
kintermed = kintermed <= 0.f ? 0.01f : kintermed;
WavL0[i] = WavL02[i] + (WavL0[i] - WavL02[i]) * kintermed;
WavL1[i] = WavL12[i] + (WavL1[i] - WavL12[i]) * kintermed;
WavL2[i] = WavL22[i] + (WavL2[i] - WavL22[i]) * kintermed;
WavL3[i] = WavL32[i] + (WavL3[i] - WavL32[i]) * kintermed;
}
const float kchigh = -SQR(wavhigh.getVal(absciss) - 1.f);
float kintermhigh = 1.f + reduceeffect * kchigh;
kintermhigh = kintermhigh <= 0.f ? 0.01f : kintermhigh;
WavL4[i] = WavL42[i] + (WavL4[i] - WavL42[i]) * kintermhigh;
WavL5[i] = WavL52[i] + (WavL5[i] - WavL52[i]) * kintermhigh;
}
}
}
}
}
if (settings->verbose) {
Evaluate2(*Ldecomp, meand, meanNd, sigmad, sigmaNd, MaxPd, MaxNd, wavNestedLevels);
for (int dir = 1; dir < 4; dir++) {
for (int level = 0; level < levref; level++) {
printf("AFTER LC level=%i mean=%.0f meanden=%.0f sigma=%.0f sigmaden=%.0f Max=%.0f Maxden=%.0f\n", level, mean[level], meand[level], sigma[level], sigmad[level],MaxP[level], MaxPd[level]);
}
}
}
}
delete[] noisevarhue;
}
}
//Flat curve for Contrast=f(H) in levels
FlatCurve* ChCurve = new FlatCurve(params->wavelet.Chcurve); //curve C=f(H)
bool Chutili = false;
if (!ChCurve || ChCurve->isIdentity()) {
if (ChCurve) {
delete ChCurve;
ChCurve = nullptr;
}
} else {
Chutili = true;
}
WaveletcontAllL(labco, varhue, varchro, *Ldecomp, wavblcurve, cp, skip, mean, sigma, MaxP, MaxN, wavCLVCcurve, waOpacityCurveW, waOpacityCurveSH, ChCurve, Chutili);
if (cp.val > 0 || ref || contr || cp.diagcurv) { //edge
Evaluate2(*Ldecomp, mean, meanN, sigma, sigmaN, MaxP, MaxN, wavNestedLevels);
}
WaveletcontAllLfinal(*Ldecomp, cp, mean, sigma, MaxP, waOpacityCurveWL);
//Evaluate2(*Ldecomp, cp, ind, mean, meanN, sigma, sigmaN, MaxP, MaxN, madL);
/*
Ldecomp->reconstruct(labco->data, cp.strength);
}
}
*/
if (!usechrom) {
Ldecomp->reconstruct(labco->data, cp.strength);
}
float variC[7];
float variCb[7];
float noisecfr = cp.chromfi;
float noiseccr = cp.chromco;
if (cp.balchrom > 0.f) {
noisecfr = cp.chromfi + 0.1f * cp.balchrom;
noiseccr = cp.chromco + 0.1f * cp.balchrom;
}
float noisecfb = cp.chromfi;
float noiseccb = cp.chromco;
if (cp.balchrom < 0.f) {
noisecfb = cp.chromfi - 0.1f * cp.balchrom;
noiseccb = cp.chromco - 0.1f * cp.balchrom;
}
if (noisecfr < 0.f) {
noisecfr = 0.00001f;
}
if (noiseccr < 0.f) {
noiseccr = 0.00001f;
}
if (noisecfb < 0.f) {
noisecfb = 0.00001f;
}
if (noiseccb < 0.f) {
noiseccb = 0.0001f;
}
int edge = 2;
variC[0] = SQR(noisecfr);
variC[1] = SQR(noisecfr);
variC[2] = SQR(noisecfr);
variC[3] = SQR(noisecfr);
variC[4] = SQR(noisecfr);
variC[5] = SQR(noiseccr);
variC[6] = SQR(noiseccr);
variCb[0] = SQR(noisecfb);
variCb[1] = SQR(noisecfb);
variCb[2] = SQR(noisecfb);
variCb[3] = SQR(noisecfb);
variCb[4] = SQR(noisecfb);
variCb[5] = SQR(noiseccb);
variCb[6] = SQR(noiseccb);
float k1 = 0.f;
float k2 = 0.f;
float k3 = 0.f;
if (cp.chromfi < 0.2f) {
k1 = 0.05f;
k2 = 0.f;
k3 = 0.f;
} else if (cp.chromfi < 0.3f) {
k1 = 0.1f;
k2 = 0.0f;
k3 = 0.f;
} else if (cp.chromfi < 0.5f) {
k1 = 0.2f;
k2 = 0.1f;
k3 = 0.f;
} else if (cp.chromfi < 0.8f) {
k1 = 0.3f;
k2 = 0.25f;
k3 = 0.f;
} else if (cp.chromfi < 1.f) {
k1 = 0.4f;
k2 = 0.25f;
k3 = 0.1f;
} else if (cp.chromfi < 2.f) {
k1 = 0.5f;
k2 = 0.3f;
k3 = 0.15f;
} else if (cp.chromfi < 3.f) {
k1 = 0.6f;
k2 = 0.45f;
k3 = 0.3f;
} else if (cp.chromfi < 4.f) {
k1 = 0.7f;
k2 = 0.5f;
k3 = 0.4f;
} else if (cp.chromfi < 5.f) {
k1 = 0.8f;
k2 = 0.6f;
k3 = 0.5f;
} else if (cp.chromfi < 6.f) {
k1 = 0.85f;
k2 = 0.7f;
k3 = 0.6f;
} else if (cp.chromfi < 8.f) {
k1 = 0.9f;
k2 = 0.8f;
k3 = 0.7f;
} else if (cp.chromfi < 10.f) {
k1 = 1.f;
k2 = 1.f;
k3 = 0.9f;
} else {
k1 = 1.f;
k2 = 1.f;
k3 = 1.f;
}
float minic = 0.000001f;
variC[0] = max(minic, variC[0]);
variC[1] = max(minic, k1 * variC[1]);
variC[2] = max(minic, k2 * variC[2]);
variC[3] = max(minic, k3 * variC[3]);
variCb[0] = max(minic, variCb[0]);
variCb[1] = max(minic, k1 * variCb[1]);
variCb[2] = max(minic, k2 * variCb[2]);
variCb[3] = max(minic, k3 * variCb[3]);
float k4 = 0.f;
float k5 = 0.f;
float k6 = 0.f;
if (cp.chromco < 0.2f) {
k4 = 0.1f;
k5 = 0.02f;
} else if (cp.chromco < 0.5f) {
k4 = 0.15f;
k5 = 0.05f;
} else if (cp.chromco < 1.f) {
k4 = 0.15f;
k5 = 0.1f;
} else if (cp.chromco < 3.f) {
k4 = 0.3f;
k5 = 0.15f;
} else if (cp.chromco < 4.f) {
k4 = 0.6f;
k5 = 0.4f;
} else if (cp.chromco < 6.f) {
k4 = 0.8f;
k5 = 0.6f;
} else {
k4 = 1.f;
k5 = 1.f;
}
variC[4] = max(0.000001f, k4 * variC[4]);
variC[5] = max(0.000001f, k5 * variC[5]);
variCb[4] = max(0.000001f, k4 * variCb[4]);
variCb[5] = max(0.000001f, k5 * variCb[5]);
if (cp.chromco < 4.f) {
k6 = 0.f;
} else if (cp.chromco < 5.f) {
k6 = 0.4f;
} else if (cp.chromco < 6.f) {
k6 = 0.7f;
} else {
k6 = 1.f;
}
variC[6] = max(0.00001f, k6 * variC[6]);
variCb[6] = max(0.00001f, k6 * variCb[6]);
if (settings->verbose) {
printf("CHRO var0=%f va1=%f va2=%f va3=%f va4=%f val5=%f va6=%f\n", variC[0], variC[1], variC[2], variC[3], variC[4], variC[5], variC[6]);
}
/*
for (int y = 0; y < 7; y++) {
printf("y=%i madL=%f varia=%f variab=%f\n", y, madL[y][1], variC[y], variCb[y]);
}
*/
float nvch = 0.6f;//high value
float nvcl = 0.1f;//low value
if (cp.chromco > 30.f) {
nvch = 0.8f;
nvcl = 0.4f;
}
float seuil = 4000.f;//low
float seuil2 = 15000.f;//high
//ac and bc for transition
float ac = (nvch - nvcl) / (seuil - seuil2);
float bc = nvch - seuil * ac;
int GW = labco->W;
int GH = labco->H;
float* noisevarchrom = new float[GH * GW];
//noisevarchrom in function chroma
int GW2 = (GW + 1) / 2;
float noisevarab_r = 100.f;
for (int ir = 0; ir < GH; ir++)
for (int jr = 0; jr < GW; jr++) {
float cN = sqrt(SQR(labco->a[ir][jr]) + SQR(labco->b[ir][jr]));
if (cN < seuil) {
noisevarchrom[(ir >> 1)*GW2 + (jr >> 1)] = nvch;
} else if (cN < seuil2) {
noisevarchrom[(ir >> 1)*GW2 + (jr >> 1)] = ac * cN + bc;
} else {
noisevarchrom[(ir >> 1)*GW2 + (jr >> 1)] = nvcl;
}
}
//Flat curve for H=f(H) in residual image
FlatCurve* hhCurve = new FlatCurve(params->wavelet.hhcurve); //curve H=f(H)
bool hhutili = false;
if (!hhCurve || hhCurve->isIdentity()) {
if (hhCurve) {
delete hhCurve;
hhCurve = nullptr;
}
} else {
hhutili = true;
}
bool exblurab = cp.chrwav > 0.f && exblurL;
if (!hhutili) { //always a or b
int levwava = levwav;
if (!exblurab && cp.chrores == 0.f && cp.blurcres == 0.f && !cp.noiseena && !cp.tonemap && !cp.resena && !cp.chromena && !cp.toningena && !cp.finena && !cp.edgeena && params->wavelet.CLmethod == "all" && !cp.cbena) { // no processing of residual ab => we probably can reduce the number of levels
while (levwava > 0 && !cp.diag && (((cp.CHmet == 2 && (cp.chro == 0.f || cp.mul[levwava - 1] == 0.f)) || (cp.CHmet != 2 && (levwava == 10 || (!cp.curv || cp.mulC[levwava - 1] == 0.f))))) && (!cp.opaRG || levwava == 10 || (cp.opaRG && cp.mulopaRG[levwava - 1] == 0.f)) && ((levwava == 10 || (cp.CHSLmet == 1 && cp.mulC[levwava - 1] == 0.f)))) {
levwava--;
}
}
if (cp.chromfi > 0.f || cp.chromco > 0.f) {
if (levwava < 7) {
levwava = 7;
}
}
levwava = rtengine::min(maxlevelcrop, levwava);
levwava = rtengine::min(maxlev2, levwava);
levwava = rtengine::min(levwav, levwava);
if (settings->verbose) {
printf("Leval decomp a=%i\n", levwava);
}
if (levwava > 0) {
const std::unique_ptr<wavelet_decomposition> adecomp(new wavelet_decomposition(labco->data + datalen, labco->W, labco->H, levwava, 1, skip, rtengine::max(1, wavNestedLevels), DaubLen));
if (!adecomp->memory_allocation_failed()) {
if(levwava == 6) {
edge = 1;
}
if (cp.noiseena && ((cp.chromfi > 0.f || cp.chromco > 0.f) && cp.quamet == 0 && isdenoisL)) {
if (settings->verbose) {
printf("denoise standard a \n");
}
WaveletDenoiseAllAB(*Ldecomp, *adecomp, noisevarchrom, madL, variC, edge, noisevarab_r, true, false, false, 1);
} else if (cp.noiseena && ((cp.chromfi > 0.f && cp.chromco >= 0.f) && cp.quamet == 1 && isdenoisL)){
if (settings->verbose) {
printf("denoise bishrink a \n");
}
WaveletDenoiseAll_BiShrinkAB(*Ldecomp, *adecomp, noisevarchrom, madL, variC, edge, noisevarab_r, true, false, false, 1);
WaveletDenoiseAllAB(*Ldecomp, *adecomp, noisevarchrom, madL, variC, edge, noisevarab_r, true, false, false, 1);
}
Evaluate2(*adecomp, meanab, meanNab, sigmaab, sigmaNab, MaxPab, MaxNab, wavNestedLevels);
WaveletcontAllAB(labco, varhue, varchro, *adecomp, wavblcurve, waOpacityCurveW, cp, true, skip, meanab, sigmaab);
adecomp->reconstruct(labco->data + datalen, cp.strength);
}
}
int levwavb = levwav;
if (!exblurab && cp.chrores == 0.f && cp.blurcres == 0.f && !cp.noiseena && !cp.tonemap && !cp.resena && !cp.chromena && !cp.toningena && !cp.finena && !cp.edgeena && params->wavelet.CLmethod == "all" && !cp.cbena) { // no processing of residual ab => we probably can reduce the number of levels
while (levwavb > 0 && !cp.diag && (((cp.CHmet == 2 && (cp.chro == 0.f || cp.mul[levwavb - 1] == 0.f)) || (cp.CHmet != 2 && (levwavb == 10 || (!cp.curv || cp.mulC[levwavb - 1] == 0.f))))) && (!cp.opaBY || levwavb == 10 || (cp.opaBY && cp.mulopaBY[levwavb - 1] == 0.f)) && ((levwavb == 10 || (cp.CHSLmet == 1 && cp.mulC[levwavb - 1] == 0.f)))) {
levwavb--;
}
}
if (cp.chromfi > 0.f || cp.chromco > 0.f) {
if (levwavb < 7) {
levwavb = 7;
}
}
levwavb = rtengine::min(maxlevelcrop, levwavb);
levwavb = rtengine::min(maxlev2, levwavb);
levwavb = rtengine::min(levwav, levwavb);
if (settings->verbose) {
printf("Leval decomp b=%i\n", levwavb);
}
if (levwavb > 0) {
const std::unique_ptr<wavelet_decomposition> bdecomp(new wavelet_decomposition(labco->data + 2 * datalen, labco->W, labco->H, levwavb, 1, skip, rtengine::max(1, wavNestedLevels), DaubLen));
if(levwavb == 6) {
edge = 1;
}
if (!bdecomp->memory_allocation_failed()) {
// if (cp.noiseena && ((cp.chromfi > 0.f || cp.chromco > 0.f) && cp.chromco < 2.f )) {
if (cp.noiseena && ((cp.chromfi > 0.f || cp.chromco > 0.f) && cp.quamet == 0 && isdenoisL)) {
WaveletDenoiseAllAB(*Ldecomp, *bdecomp, noisevarchrom, madL, variCb, edge, noisevarab_r, true, false, false, 1);
if (settings->verbose) {
printf("Denoise standard b\n");
}
} else if (cp.noiseena && ((cp.chromfi > 0.f && cp.chromco >= 0.f) && cp.quamet == 1 && isdenoisL)){
WaveletDenoiseAll_BiShrinkAB(*Ldecomp, *bdecomp, noisevarchrom, madL, variCb, edge, noisevarab_r, true, false, false, 1);
WaveletDenoiseAllAB(*Ldecomp, *bdecomp, noisevarchrom, madL, variCb, edge, noisevarab_r, true, false, false, 1);
if (settings->verbose) {
printf("Denoise bishrink b\n");
}
}
Evaluate2(*bdecomp, meanab, meanNab, sigmaab, sigmaNab, MaxPab, MaxNab, wavNestedLevels);
WaveletcontAllAB(labco, varhue, varchro, *bdecomp, wavblcurve, waOpacityCurveW, cp, false, skip, meanab, sigmaab);
bdecomp->reconstruct(labco->data + 2 * datalen, cp.strength);
}
}
} else {// a and b
int levwavab = levwav;
if (cp.chromfi > 0.f || cp.chromco > 0.f) {
if (levwavab < 7) {
levwavab = 7;
}
}
if (levwavab > 0) {
const std::unique_ptr<wavelet_decomposition> adecomp(new wavelet_decomposition(labco->data + datalen, labco->W, labco->H, levwavab, 1, skip, rtengine::max(1, wavNestedLevels), DaubLen));
const std::unique_ptr<wavelet_decomposition> bdecomp(new wavelet_decomposition(labco->data + 2 * datalen, labco->W, labco->H, levwavab, 1, skip, rtengine::max(1, wavNestedLevels), DaubLen));
if (!adecomp->memory_allocation_failed() && !bdecomp->memory_allocation_failed()) {
if (cp.noiseena && ((cp.chromfi > 0.f || cp.chromco > 0.f) && cp.quamet == 0 && isdenoisL)) {
WaveletDenoiseAllAB(*Ldecomp, *adecomp, noisevarchrom, madL, variC, edge, noisevarab_r, true, false, false, 1);
if (settings->verbose) {
printf("Denoise standard ab\n");
}
} else if (cp.noiseena && ((cp.chromfi > 0.f || cp.chromco > 0.f) && cp.quamet == 1 && isdenoisL)) {
WaveletDenoiseAll_BiShrinkAB(*Ldecomp, *adecomp, noisevarchrom, madL, variC, edge, noisevarab_r, true, false, false, 1);
WaveletDenoiseAllAB(*Ldecomp, *adecomp, noisevarchrom, madL, variC, edge, noisevarab_r, true, false, false, 1);
if (settings->verbose) {
printf("Denoise bishrink ab\n");
}
}
Evaluate2(*adecomp, meanab, meanNab, sigmaab, sigmaNab, MaxPab, MaxNab, wavNestedLevels);
WaveletcontAllAB(labco, varhue, varchro, *adecomp, wavblcurve, waOpacityCurveW, cp, true, skip, meanab, sigmaab);
if (cp.noiseena && ((cp.chromfi > 0.f || cp.chromco > 0.f) && cp.quamet == 0 && isdenoisL)) {
WaveletDenoiseAllAB(*Ldecomp, *bdecomp, noisevarchrom, madL, variCb, edge, noisevarab_r, true, false, false, 1);
} else if(cp.noiseena && ((cp.chromfi > 0.f || cp.chromco > 0.f) && cp.quamet == 1 && isdenoisL)) {
WaveletDenoiseAll_BiShrinkAB(*Ldecomp, *bdecomp, noisevarchrom, madL, variCb, edge, noisevarab_r, true, false, false, 1);
WaveletDenoiseAllAB(*Ldecomp, *bdecomp, noisevarchrom, madL, variCb, edge, noisevarab_r, true, false, false, 1);
}
Evaluate2(*bdecomp, meanab, meanNab, sigmaab, sigmaNab, MaxPab, MaxNab, wavNestedLevels);
WaveletcontAllAB(labco, varhue, varchro, *bdecomp, wavblcurve, waOpacityCurveW, cp, false, skip, meanab, sigmaab);
WaveletAandBAllAB(*adecomp, *bdecomp, cp, hhCurve, hhutili);
adecomp->reconstruct(labco->data + datalen, cp.strength);
bdecomp->reconstruct(labco->data + 2 * datalen, cp.strength);
}
}
}
delete[] noisevarchrom;
if (hhCurve) {
delete hhCurve;
}
if (usechrom) {
Ldecomp->reconstruct(labco->data, cp.strength);
}
}
}
if (numtiles > 1 || (numtiles == 1 /*&& cp.avoi*/)) { //in all case since I add contrast curve
//calculate mask for feathering output tile overlaps
float Vmask[height + overlap] ALIGNED16;
float Hmask[width + overlap] ALIGNED16;
if (numtiles > 1) {
for (int i = 0; i < height; i++) {
Vmask[i] = 1;
}
for (int j = 0; j < width; j++) {
Hmask[j] = 1;
}
for (int i = 0; i < overlap; i++) {
float mask = SQR(sin((rtengine::RT_PI * i) / (2 * overlap)));
if (tiletop > 0) {
Vmask[i] = mask;
}
if (tilebottom < imheight) {
Vmask[height - i] = mask;
}
if (tileleft > 0) {
Hmask[i] = mask;
}
if (tileright < imwidth) {
Hmask[width - i] = mask;
}
}
}
bool highlight = params->toneCurve.hrenabled;
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic,16) num_threads(wavNestedLevels) if (wavNestedLevels>1)
#endif
for (int i = tiletop; i < tilebottom; i++) {
const int i1 = i - tiletop;
float L, a, b;
#ifdef __SSE2__
const int rowWidth = tileright - tileleft;
float atan2Buffer[rowWidth] ALIGNED64;
float chprovBuffer[rowWidth] ALIGNED64;
float xBuffer[rowWidth] ALIGNED64;
float yBuffer[rowWidth] ALIGNED64;
if (cp.avoi) {
int col = 0;
const vfloat onev = F2V(1.f);
const vfloat c327d68v = F2V(327.68f);
for (; col < rowWidth - 3; col += 4) {
const vfloat av = LVFU(labco->a[i1][col]);
const vfloat bv = LVFU(labco->b[i1][col]);
STVF(atan2Buffer[col], xatan2f(bv, av));
const vfloat cv = vsqrtf(SQRV(av) + SQRV(bv));
vfloat yv = av / cv;
vfloat xv = bv / cv;
const vmask xyMask = vmaskf_eq(ZEROV, cv);
yv = vself(xyMask, onev, yv);
xv = vselfnotzero(xyMask, xv);
STVF(yBuffer[col], yv);
STVF(xBuffer[col], xv);
STVF(chprovBuffer[col], cv / c327d68v);
}
for (; col < rowWidth; col++) {
const float la = labco->a[i1][col];
const float lb = labco->b[i1][col];
atan2Buffer[col] = xatan2f(lb, la);
const float Chprov1 = sqrtf(SQR(la) + SQR(lb));
yBuffer[col] = (Chprov1 == 0.f) ? 1.f : la / Chprov1;
xBuffer[col] = (Chprov1 == 0.f) ? 0.f : lb / Chprov1;
chprovBuffer[col] = Chprov1 / 327.68f;
}
}
#endif
for (int j = tileleft; j < tileright; j++) {
const int j1 = j - tileleft;
if (cp.avoi) { //Gamut and Munsell
#ifdef __SSE2__
float HH = atan2Buffer[j1];
float Chprov1 = chprovBuffer[j1];
float2 sincosv;
sincosv.y = yBuffer[j1];
sincosv.x = xBuffer[j1];
#else
a = labco->a[i1][j1];
b = labco->b[i1][j1];
float HH = xatan2f(b, a);
float Chprov1 = sqrtf(SQR(a) + SQR(b));
float2 sincosv;
sincosv.y = (Chprov1 == 0.0f) ? 1.f : a / (Chprov1);
sincosv.x = (Chprov1 == 0.0f) ? 0.f : b / (Chprov1);
Chprov1 /= 327.68f;
#endif
const float Lin = labco->L[i1][j1];
if (wavclCurve && cp.finena) {
labco->L[i1][j1] = (0.5f * Lin + 1.5f * wavclCurve[Lin]) / 2.f; //apply contrast curve
}
L = labco->L[i1][j1];
float Lprov1 = L / 327.68f;
float Lprov2 = Lold[i][j] / 327.68f;
float memChprov = varchro[i1][j1];
float R, G, B;
Color::gamutLchonly(HH, sincosv, Lprov1, Chprov1, R, G, B, wip, highlight, 0.15f, 0.96f);
L = Lprov1 * 327.68f;
a = 327.68f * Chprov1 * sincosv.y; //gamut
b = 327.68f * Chprov1 * sincosv.x; //gamut
float correctionHue = 0.0f; // Munsell's correction
float correctlum = 0.0f;
Lprov1 = L / 327.68f;
const float Chprov = sqrtf(SQR(a) + SQR(b)) / 327.68f;
Color::AllMunsellLch(true, Lprov1, Lprov2, HH, Chprov, memChprov, correctionHue, correctlum);
if (correctionHue != 0.f || correctlum != 0.f) { // only calculate sin and cos if HH changed
if (std::fabs(correctionHue) < 0.015f) {
HH += correctlum; // correct only if correct Munsell chroma very little.
}
sincosv = xsincosf(HH + correctionHue);
}
a = 327.68f * Chprov * sincosv.y; // apply Munsell
b = 327.68f * Chprov * sincosv.x; //aply Munsell
} else {//general case
L = labco->L[i1][j1];
const float Lin = std::max(0.f, L);
if (wavclCurve && cp.finena) {
labco->L[i1][j1] = (0.5f * Lin + 1.5f * wavclCurve[Lin]) / 2.f; //apply contrast curve
}
L = labco->L[i1][j1];
a = labco->a[i1][j1];
b = labco->b[i1][j1];
}
if (numtiles > 1) {
float factor = Vmask[i1] * Hmask[j1];
if(L <= 0.f) {
L= 1.f;
}
dsttmp->L[i][j] += factor * L;
dsttmp->a[i][j] += factor * a;
dsttmp->b[i][j] += factor * b;
} else {
if(L <= 0.f) {
L= 1.f;
}
dsttmp->L[i][j] = L;
dsttmp->a[i][j] = a;
dsttmp->b[i][j] = b;
}
}
}
}
if (LoldBuffer != nullptr) {
delete [] LoldBuffer;
delete [] Lold;
}
if (numtiles > 1) {
delete labco;
}
}
}
for (int i = 0; i < tileheight; i++)
if (varhue[i] != nullptr) {
delete [] varhue[i];
}
delete [] varhue;
}
#ifdef _OPENMP
omp_set_nested(oldNested);
#endif
if (numtiles != 1) {
dst->CopyFrom(dsttmp);
delete dsttmp;
}
if (waparams.softradend > 0.f && cp.finena) {
float guid = waparams.softradend;
float strend = waparams.strend;
float detend = (float) waparams.detend;
float thrend = 0.01f * (float) waparams.thrend;
int ww = lab->W;
int hh = lab->H;
array2D<float> LL(ww, hh);
array2D<float> LLbef(ww, hh);
array2D<float> LAbef(ww, hh);
array2D<float> LBbef(ww, hh);
array2D<float> guide(ww, hh);
const float blend = LIM01(float(strend) / 100.f);
float mean[10];
float meanN[10];
float sigma[10];
float sigmaN[10];
float MaxP[10];
float MaxN[10];
float meang[10];
float meanNg[10];
float sigmag[10];
float sigmaNg[10];
float MaxPg[10];
float MaxNg[10];
bool multiTh = false;
#ifdef _OPENMP
if (numthreads > 1) {
multiTh = true;
}
#pragma omp parallel for
#endif
for (int y = 0; y < hh; y++) {
for (int x = 0; x < ww; x++) {
LL[y][x] = dst->L[y][x];
LLbef[y][x] = dst->L[y][x];
LAbef[y][x] = dst->a[y][x];
LBbef[y][x] = dst->b[y][x];
float ll = LL[y][x] / 32768.f;
guide[y][x] = xlin2log(rtengine::max(ll, 0.f), 10.f);
}
}
array2D<float> iL(ww, hh, LL, 0);
int r = rtengine::max(int(guid / skip), 1);
const float epsil = 0.001f * std::pow(2, - detend);
rtengine::guidedFilterLog(guide, 10.f, LL, r, epsil, multiTh);
//take Hue to modulate LL
//LL in function of LLbef and Labef Lbbef
if(wavguidutili) {
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (int y = 0; y < hh ; y++) {
for (int x = 0; x < ww; x++) {
float hueG = xatan2f(LBbef[y][x], LAbef[y][x]);
float valparam = 1.f * (static_cast<float>(wavguidCurve->getVal(Color::huelab_to_huehsv2(hueG))) - 0.5f);
LL[y][x] = LLbef[y][x] + (LL[y][x] - LLbef[y][x]) * (1.f + valparam);
}
}
}
//end hue
if (thrend > 0.f) {
//2 decomposition LL after guidefilter and dst before (perhaps dst no need)
const std::unique_ptr<wavelet_decomposition> LdecompLL(new wavelet_decomposition(LL[0], ww, hh, levwavL, 1, skip, rtengine::max(1, wavNestedLevels), DaubLen));
const std::unique_ptr<wavelet_decomposition> Ldecompdst(new wavelet_decomposition(dst->L[0], ww, hh, levwavL, 1, skip, rtengine::max(1, wavNestedLevels), DaubLen));
if (!LdecompLL->memory_allocation_failed() && !Ldecompdst->memory_allocation_failed()) {
Evaluate2(*LdecompLL, meang, meanNg, sigmag, sigmaNg, MaxPg, MaxNg, wavNestedLevels);
Evaluate2(*Ldecompdst, mean, meanN, sigma, sigmaN, MaxP, MaxN, wavNestedLevels);
constexpr float sig = 2.f;
// original code for variable sig
float k = sig;
// cppcheck-suppress knownConditionTrueFalse
if (sig > 1.f) {
k = SQR(sig);
}
float thr = 0.f;
if (thrend < 0.02f) thr = 0.5f;
else if (thrend < 0.1f) thr = 0.2f;
else thr = 0.f;
FlatCurve wavguid({
FCT_MinMaxCPoints,
0, 1, 0.35, 0.35,thrend, 1.0, 0.35, 0.35, thrend + 0.01f, thr, 0.35, 0.35, 1, thr, 0.35, 0.35
});
for (int dir = 1; dir < 4; dir++) {
for (int level = 0; level < levwavL-1; level++) {
const int Wlvl_L = LdecompLL->level_W(level);
const int Hlvl_L = LdecompLL->level_H(level);
float* const* WavCoeffs_L = LdecompLL->level_coeffs(level);//first decomp denoised
float* const* WavCoeffs_L2 = Ldecompdst->level_coeffs(level);//second decomp before denoise
if (settings->verbose) {
printf("level=%i mean=%.0f meanden=%.0f sigma=%.0f sigmaden=%.0f Max=%.0f Maxden=%.0f\n", level, mean[level], meang[level], sigma[level], sigmag[level],MaxP[level], MaxPg[level]);
}
//find local contrast
const float tempmean = 0.3f * mean[level] + 0.7f * meang[level];
const float tempsig = 0.3f * sigma[level] + 0.7f * sigmag[level];
const float tempmax = 0.3f * MaxP[level] + 0.7f * MaxPg[level];
if (MaxP[level] > 0.f && mean[level] != 0.f && sigma[level] != 0.f) { //curve
constexpr float insigma = 0.666f; //SD
const float logmax = log(tempmax); //log Max
const float rapX = (tempmean + sig * tempsig) / tempmax; //rapport between sD / max
const float inx = log(insigma);
const float iny = log(rapX);
const float rap = inx / iny; //koef
const float asig = 0.166f / (tempsig * sig);
const float bsig = 0.5f - asig * tempmean;
const float amean = 1.f / tempmean;
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic, Wlvl_L * 16) num_threads(wavNestedLevels) if (wavNestedLevels>1)
#endif
for (int i = 0; i < Wlvl_L * Hlvl_L; i++) {
float absciss;
const float tempwav = std::fabs(0.7f * WavCoeffs_L[dir][i] + 0.3f * WavCoeffs_L2[dir][i]);
if (tempwav >= tempmean + sig * tempsig) { //for max
const float vald = (xlogf(tempwav) - logmax) * rap;
absciss = xexpf(vald);
} else if (tempwav >= tempmean) {
absciss = asig * tempwav + bsig;
} else {
absciss = amean * tempwav;
if (sig == 2.f) { // for sig = 2.f we can use a faster calculation because the exponent in this case is 0.25
absciss = 0.5f * std::sqrt(std::sqrt(absciss));
} else { // original code for variable sig
absciss = 0.5f * pow_F(absciss, 1.f / k);
}
}
float kc = wavguid.getVal(absciss) - 1.f;
kc = kc < 0.f ? -SQR(kc) : kc; // approximation to simulate sliders denoise
const float reduceeffect = kc <= 0.f ? 1.f : 1.2f;//1.2 allows to increase denoise (not used)
const float kinterm = rtengine::max(1.f + reduceeffect * kc, 0.f);
WavCoeffs_L[dir][i] = intp(kinterm, WavCoeffs_L[dir][i], WavCoeffs_L2[dir][i]); // interpolate using kinterm
}
}
}
}
LdecompLL->reconstruct(LL[0], cp.strength);
}
}
//end local contrast
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (int y = 0; y < hh ; y++) {
for (int x = 0; x < ww; x++) {
LL[y][x] = intp(blend, LL[y][x] , iL[y][x]);
dst->L[y][x] = LL[y][x];
}
}
}
}
void ImProcFunctions::Aver(const float* RESTRICT DataList, int datalen, float &averagePlus, float &averageNeg, float &max, float &min, int numThreads)
{
//find absolute mean
int countP = 0, countN = 0;
double averaP = 0.0, averaN = 0.0; // use double precision for large summations
constexpr float thres = 32.7f;//different fom zero to take into account only data large enough 32.7 = 0.1 in range 0..100 very low value
max = 0.f;
min = RT_INFINITY_F;
#ifdef _OPENMP
#pragma omp parallel num_threads(numThreads) if (numThreads>1)
#endif
{
float lmax = 0.f, lmin = 0.f;
#ifdef _OPENMP
#pragma omp for reduction(+:averaP,averaN,countP,countN) nowait
#endif
for (int i = 0; i < datalen; i++) {
if (DataList[i] >= thres) {
averaP += static_cast<double>(DataList[i]);
lmax = rtengine::max(lmax, DataList[i]);
countP++;
} else if (DataList[i] < -thres) {
averaN += static_cast<double>(DataList[i]);
lmin = rtengine::min(lmin, DataList[i]);
countN++;
}
}
#ifdef _OPENMP
#pragma omp critical
#endif
{
max = rtengine::max(max, lmax);
min = rtengine::min(min, lmin);
}
}
if (countP > 0) {
averagePlus = averaP / countP;
} else {
averagePlus = 0;
}
if (countN > 0) {
averageNeg = averaN / countN;
} else {
averageNeg = 0;
}
}
void ImProcFunctions::Sigma(const float* RESTRICT DataList, int datalen, float averagePlus, float averageNeg, float &sigmaPlus, float &sigmaNeg, int numThreads)
{
int countP = 0, countN = 0;
double variP = 0.0, variN = 0.0; // use double precision for large summations
float thres = 32.7f;//different fom zero to take into account only data large enough 32.7 = 0.1 in range 0..100
#ifdef _OPENMP
#pragma omp parallel for reduction(+:variP,variN,countP,countN) num_threads(numThreads) if (numThreads>1)
#endif
for (int i = 0; i < datalen; i++) {
if (DataList[i] >= thres) {
variP += static_cast<double>(SQR(DataList[i] - averagePlus));
countP++;
} else if (DataList[i] <= -thres) {
variN += static_cast<double>(SQR(DataList[i] - averageNeg));
countN++;
}
}
if (countP > 0) {
sigmaPlus = sqrt(variP / countP);
} else {
sigmaPlus = 0;
}
if (countN > 0) {
sigmaNeg = sqrt(variN / countN);
} else {
sigmaNeg = 0;
}
}
void ImProcFunctions::Evaluate2(const wavelet_decomposition &WaveletCoeffs_L, float *mean, float *meanN, float *sigma, float *sigmaN, float *MaxP, float *MaxN, int numThreads)
{
//StopWatch Stop1("Evaluate2");
int maxlvl = WaveletCoeffs_L.maxlevel();
for (int lvl = 0; lvl < maxlvl; lvl++) {
int Wlvl_L = WaveletCoeffs_L.level_W(lvl);
int Hlvl_L = WaveletCoeffs_L.level_H(lvl);
const float* const* WavCoeffs_L = WaveletCoeffs_L.level_coeffs(lvl);
Eval2(WavCoeffs_L, lvl, Wlvl_L, Hlvl_L, mean, meanN, sigma, sigmaN, MaxP, MaxN, numThreads);
}
}
void ImProcFunctions::calceffect(int level, float *mean, float *sigma, float *mea, float effect, float offs)
{
float rap = 0.f;
float sig = 1.f;
if (effect < 1.f) {
sig = effect;
}
if (effect <= 1.f) {
rap = offs * mean[level] - sig * sigma[level];
}
if (rap > 0.f) {
mea[0] = rap;
} else {
mea[0] = mean[level] / 6.f;
}
rap = 0.f;
if (effect <= 1.f) {
rap = offs * mean[level] - 0.5f * sig * sigma[level];
}
if (rap > 0.f) {
mea[1] = rap;
} else {
mea[1] = mean[level] / 4.f;
}
rap = 0.f;
if (effect <= 1.f) {
rap = offs * mean[level] - 0.2f * sig * sigma[level];
}
if (rap > 0.f) {
mea[2] = rap;
} else {
mea[2] = mean[level] / 2.f;
}
mea[3] = offs * mean[level]; // 50% data
mea[4] = offs * mean[level] + effect * sigma[level] / 2.f;
mea[5] = offs * mean[level] + effect * sigma[level]; //66%
mea[6] = offs * mean[level] + effect * 1.2f * sigma[level];
mea[7] = offs * mean[level] + effect * 1.5f * sigma[level]; //
mea[8] = offs * mean[level] + effect * 2.f * sigma[level]; //95%
mea[9] = offs * mean[level] + effect * 2.5f * sigma[level]; //99%
}
void ImProcFunctions::Eval2(const float* const* WavCoeffs_L, int level, int W_L, int H_L, float *mean, float *meanN, float *sigma, float *sigmaN, float *MaxP, float *MaxN, int numThreads)
{
float avLP[4], avLN[4];
float maxL[4], minL[4];
float sigP[4], sigN[4];
float AvL, AvN, SL, SN, maxLP, maxLN;
for (int dir = 1; dir < 4; dir++) {
Aver(WavCoeffs_L[dir], W_L * H_L, avLP[dir], avLN[dir], maxL[dir], minL[dir], numThreads);
Sigma(WavCoeffs_L[dir], W_L * H_L, avLP[dir], avLN[dir], sigP[dir], sigN[dir], numThreads);
}
AvL = 0.f;
AvN = 0.f;
SL = 0.f;
SN = 0.f;
maxLP = 0.f;
maxLN = 0.f;
for (int dir = 1; dir < 4; dir++) {
AvL += avLP[dir];
AvN += avLN[dir];
SL += sigP[dir];
SN += sigN[dir];
maxLP += maxL[dir];
maxLN += minL[dir];
}
AvL /= 3;
AvN /= 3;
SL /= 3;
SN /= 3;
maxLP /= 3;
maxLN /= 3;
mean[level] = AvL;
meanN[level] = AvN;
sigma[level] = SL;
sigmaN[level] = SN;
MaxP[level] = maxLP;
MaxN[level] = maxLN;
}
void ImProcFunctions::CompressDR(float *Source, int W_L, int H_L, float Compression, float DetailBoost)
{
const int n = W_L * H_L;
float exponent;
if (DetailBoost > 0.f && DetailBoost < 0.05f) {
float betemp = expf(-(2.f - DetailBoost + 0.694f)) - 1.f; //0.694 = log(2)
exponent = 1.2f * xlogf(-betemp);
exponent /= 20.f;
} else if (DetailBoost >= 0.05f && DetailBoost < 0.25f) {
float betemp = expf(-(2.f - DetailBoost + 0.694f)) - 1.f; //0.694 = log(2)
exponent = 1.2f * xlogf(-betemp);
exponent /= (-75.f * DetailBoost + 23.75f);
} else if (DetailBoost >= 0.25f) {
float betemp = expf(-(2.f - DetailBoost + 0.694f)) - 1.f; //0.694 = log(2)
exponent = 1.2f * xlogf(-betemp);
exponent /= (-2.f * DetailBoost + 5.5f);
} else {
exponent = (Compression - 1.0f) / 20.f;
}
exponent += 1.f;
// now calculate Source = pow(Source, exponent)
#ifdef __SSE2__
#ifdef _OPENMP
#pragma omp parallel
#endif
{
const vfloat exponentv = F2V(exponent);
#ifdef _OPENMP
#pragma omp for
#endif
for (int i = 0; i < n - 3; i += 4) {
STVFU(Source[i], xexpf(xlogf(LVFU(Source[i])) * exponentv));
}
}
for (int i = n - (n % 4); i < n; i++) {
Source[i] = xexpf(xlogf(Source[i]) * exponent);
}
#else
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (int i = 0; i < n; i++) {
Source[i] = xexpf(xlogf(Source[i]) * exponent);
}
#endif
}
void ImProcFunctions::ContrastResid(float * WavCoeffs_L0, const cont_params &cp, int W_L, int H_L, float max0)
{
const float stren = cp.tmstrength;
const float gamm = params->wavelet.gamma;
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (int i = 0; i < W_L * H_L; i++) {
WavCoeffs_L0[i] *= (gamm / max0);
}
const float Compression = std::exp(-stren); //This modification turns numbers symmetric around 0 into exponents.
const float DetailBoost = std::max(stren, 0.f); //Go with effect of exponent only if uncompressing.
CompressDR(WavCoeffs_L0, W_L, H_L, Compression, DetailBoost);
max0 /= gamm;
#ifdef _OPENMP
#pragma omp parallel for // removed schedule(dynamic,10)
#endif
for (int ii = 0; ii < W_L * H_L; ii++) {
WavCoeffs_L0[ii] *= max0;
}
}
void ImProcFunctions::EPDToneMapResid(float * WavCoeffs_L0, unsigned int Iterates, int skip, const cont_params& cp, int W_L, int H_L, float max0)
{
const float stren = cp.tmstrength;
const float edgest = params->wavelet.edgs;
const float sca = params->wavelet.scale;
const float gamm = params->wavelet.gamma;
constexpr int rew = 0; //params->epd.reweightingIterates;
EdgePreservingDecomposition epd2(W_L, H_L);
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (int i = 0; i < W_L * H_L; i++) {
WavCoeffs_L0[i] *= (gamm / max0);
}
const float Compression = std::exp(-stren); //This modification turns numbers symmetric around 0 into exponents.
const float DetailBoost = std::max(stren, 0.f); //Go with effect of exponent only if uncompressing.
//Auto select number of iterates. Note that p->EdgeStopping = 0 makes a Gaussian blur.
if (Iterates == 0) {
Iterates = (unsigned int)(edgest * 15.0f);
}
epd2.CompressDynamicRange(WavCoeffs_L0, sca / skip, edgest, Compression, DetailBoost, Iterates, rew);
max0 /= gamm;
//Restore past range, also desaturate a bit per Mantiuk's Color correction for tone mapping.
#ifdef _OPENMP
#pragma omp parallel for // removed schedule(dynamic,10)
#endif
for (int ii = 0; ii < W_L * H_L; ii++) {
WavCoeffs_L0[ii] *= max0;
}
}
void ImProcFunctions::WaveletcontAllLfinal(wavelet_decomposition& WaveletCoeffs_L, const cont_params &cp, float *mean, float *sigma, float *MaxP, const WavOpacityCurveWL & waOpacityCurveWL)
{
int maxlvl = WaveletCoeffs_L.maxlevel();
float* WavCoeffs_L0 = WaveletCoeffs_L.get_coeff0();
for (int dir = 1; dir < 4; dir++) {
for (int lvl = 0; lvl < maxlvl; lvl++) {
int Wlvl_L = WaveletCoeffs_L.level_W(lvl);
int Hlvl_L = WaveletCoeffs_L.level_H(lvl);
float* const* WavCoeffs_L = WaveletCoeffs_L.level_coeffs(lvl);
finalContAllL(WavCoeffs_L, WavCoeffs_L0, lvl, dir, cp, Wlvl_L, Hlvl_L, mean, sigma, MaxP, waOpacityCurveWL);
}
}
}
void ImProcFunctions::WaveletcontAllL(LabImage * labco, float ** varhue, float **varchrom, wavelet_decomposition& WaveletCoeffs_L, const Wavblcurve & wavblcurve,
struct cont_params &cp, int skip, float *mean, float *sigma, float *MaxP, float *MaxN, const WavCurve & wavCLVCcurve, const WavOpacityCurveW & waOpacityCurveW, const WavOpacityCurveSH & waOpacityCurveSH, FlatCurve* ChCurve, bool Chutili)
{
// BENCHFUN
const int maxlvl = WaveletCoeffs_L.maxlevel();
const int W_L = WaveletCoeffs_L.level_W(0);
const int H_L = WaveletCoeffs_L.level_H(0);
float* WavCoeffs_L0 = WaveletCoeffs_L.get_coeff0();
const float contrast = cp.contrast;
double avedbl = 0.0; // use double precision for large summations
float max0 = 0.f;
if (contrast != 0.f || (cp.tonemap && cp.resena)) { // contrast = 0.f means that all will be multiplied by 1.f, so we can skip this step
#ifdef _OPENMP
#pragma omp parallel for reduction(+:avedbl) reduction(max:max0) num_threads(wavNestedLevels) if (wavNestedLevels>1)
#endif
for (int i = 0; i < W_L * H_L; i++) {
avedbl += static_cast<double>(WavCoeffs_L0[i]);
max0 = std::max(WavCoeffs_L0[i], max0);
}
}
//tone mapping
if (cp.tonemap && cp.contmet == 2 && cp.resena) {
//iterate = 5
EPDToneMapResid(WavCoeffs_L0, 0, skip, cp, W_L, H_L, max0);
}
//end tonemapping
max0 /= 327.68f;
const float ave = avedbl / (W_L * H_L);
const float avg = LIM01(ave / 32768.f);
const double contreal = 0.6 * contrast;
DiagonalCurve resid_contrast({
DCT_NURBS,
0, 0,
avg - avg * (0.6 - contreal / 250.0), avg - avg * (0.6 + contreal / 250.0),
avg + (1. - avg) * (0.6 - contreal / 250.0), avg + (1. - avg) * (0.6 + contreal / 250.0),
1, 1
});
if (contrast != 0.f && cp.resena && max0 > 0.f) { // contrast = 0.f means that all will be multiplied by 1.f, so we can skip this step
#ifdef _OPENMP
#pragma omp parallel for num_threads(wavNestedLevels) if (wavNestedLevels>1)
#endif
for (int i = 0; i < W_L * H_L; i++) {
float buf = LIM01(WavCoeffs_L0[i] / 32768.f);
buf = resid_contrast.getVal(buf);
buf *= 32768.f;
WavCoeffs_L0[i] = buf;
}
}
if (cp.tonemap && cp.contmet == 1 && cp.resena) {
const float maxp = max0 * 256.f;
ContrastResid(WavCoeffs_L0, cp, W_L, H_L, maxp);
}
// if ((cp.conres >= 0.f || cp.conresH >= 0.f) && cp.resena && !cp.oldsh) { // cp.conres = 0.f and cp.comresH = 0.f means that all will be multiplied by 1.f, so we can skip this step
if ((cp.conres >= 0.f || cp.conresH >= 0.f) && cp.resena) { // cp.conres = 0.f and cp.comresH = 0.f means that all will be multiplied by 1.f, so we can skip this step
const std::unique_ptr<LabImage> temp(new LabImage(W_L, H_L));
#ifdef _OPENMP
#pragma omp parallel for num_threads(wavNestedLevels) if (wavNestedLevels>1)
#endif
for (int i = 0; i < H_L; i++) {
for (int j = 0; j < W_L; j++) {
temp->L[i][j] = WavCoeffs_L0[i * W_L + j];
}
}
ImProcFunctions::shadowsHighlights(temp.get(), true, 1, cp.conresH, cp.conres, cp.radius, skip, cp.thH, cp.th);
#ifdef _OPENMP
#pragma omp parallel for num_threads(wavNestedLevels) if (wavNestedLevels>1)
#endif
for (int i = 0; i < H_L; i++) {
for (int j = 0; j < W_L; j++) {
WavCoeffs_L0[i * W_L + j] = temp->L[i][j];
}
}
}
// if ((cp.conres != 0.f || cp.conresH != 0.f) && cp.resena && cp.oldsh) { // cp.conres = 0.f and cp.comresH = 0.f means that all will be multiplied by 1.f, so we can skip this step
if ((cp.conres < 0.f || cp.conresH < 0.f) && cp.resena) { // cp.conres = 0.f and cp.comresH = 0.f means that all will be multiplied by 1.f, so we can skip this step
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (int i = 0; i < W_L * H_L; i++) {
float LL = WavCoeffs_L0[i];
float LL100 = LL / 327.68f;
float tran = 5.f;//transition
//shadow
if (cp.th > (100.f - tran)) {
tran = 100.f - cp.th;
}
if (LL100 < cp.th) {
constexpr float alp = 3.f; //increase contrast sahdow in lowlights between 1 and ??
float aalp = (1.f - alp) / cp.th; //no changes for LL100 = cp.th
float kk = aalp * LL100 + alp;
WavCoeffs_L0[i] *= (1.f + kk * cp.conres / 200.f);
} else if (LL100 < cp.th + tran) {
float ath = -cp.conres / tran;
float bth = cp.conres - ath * cp.th;
WavCoeffs_L0[i] *= (1.f + (LL100 * ath + bth) / 200.f);
}
//highlight
tran = 5.f;
if (cp.thH < (tran)) {
tran = cp.thH;
}
if (LL100 > cp.thH) {
WavCoeffs_L0[i] *= (1.f + cp.conresH / 200.f);
} else if (LL100 > (cp.thH - tran)) {
float athH = cp.conresH / tran;
float bthH = cp.conresH - athH * cp.thH;
WavCoeffs_L0[i] *= (1.f + (LL100 * athH + bthH) / 200.f);
}
}
}
//Blur luma
if (cp.blurres != 0.f && cp.resena) {
int minWL = min(W_L, H_L);
//printf("skip=%i WL=%i HL=%i min=%i\n", skip, W_L, H_L, minWL);
if (minWL > 140) { //disabled if too low windows
constexpr float k = 0.5f;
float rad = k * cp.blurres / skip;
float * bef = new float[W_L * H_L];
float * aft = new float[W_L * H_L];
for (int i = 0; i < H_L * W_L; i++) {
bef[i] = WavCoeffs_L0[i];
}
boxblur(bef, aft, rad, W_L, H_L, false);
for (int i = 0; i < H_L * W_L; i++) {
WavCoeffs_L0[i] = aft[i];
}
delete[] bef;
delete[] aft;
}
}
float *koeLi[12];
const std::unique_ptr<float[]> koeLibuffer(new float[12 * H_L * W_L]());
for (int i = 0; i < 12; i++) {
koeLi[i] = &koeLibuffer[i * W_L * H_L];
}
float maxkoeLi[12] = {0.f};
#ifdef _OPENMP
#pragma omp parallel num_threads(wavNestedLevels) if (wavNestedLevels>1)
#endif
{
//enabled Lipschitz..replace simple by complex edge detection
// I found this concept on the web (doctoral thesis on medical Imaging)
// I was inspired by the principle of Canny and Lipschitz (continuity and derivability)
// I adapted the principle but have profoundly changed the algorithm
// One can 1) change all parameters and found good parameters;
//one can also change in calckoe
constexpr float edd = 3.f;
constexpr float eddlow = 15.f;
float eddlipinfl = 0.005f * cp.edgsens + 0.4f;
float eddlipampl = 1.f + cp.edgampl / 50.f;
if (cp.detectedge && cp.val > 0) { //enabled Lipschitz control...more memory..more time...
const std::unique_ptr<float[]> tmCBuffer(new float[H_L * W_L]);
float *tmC[H_L];
for (int i = 0; i < H_L; i++) {
tmC[i] = &tmCBuffer[i * W_L];
}
float gradw = cp.eddet;
float tloww = cp.eddetthr;
#ifdef _OPENMP
#pragma omp for schedule(dynamic) collapse(2)
#endif
for (int lvl = 0; lvl < 4; lvl++) {
for (int dir = 1; dir < 4; dir++) {
const float* const* WavCoeffs_LL = WaveletCoeffs_L.level_coeffs(lvl);
float tempkoeli = 0.f;
calckoe (WavCoeffs_LL[dir], gradw, tloww, koeLi[lvl * 3 + dir - 1], lvl, W_L, H_L, edd, tempkoeli, tmC);
maxkoeLi[lvl * 3 + dir - 1] = tempkoeli ;
// return convolution KoeLi and maxkoeLi of level 0 1 2 3 and Dir Horiz, Vert, Diag
}
}
float aamp = 1.f + cp.eddetthrHi / 100.f;
for (int lvl = 0; lvl < 4; lvl++) {
#ifdef _OPENMP
#pragma omp for schedule(dynamic,16)
#endif
for (int i = 1; i < H_L - 1; i++) {
for (int j = 1; j < W_L - 1; j++) {
//treatment of koeLi and maxkoeLi
float interm = 0.f;
if (cp.lip3 && cp.lipp) {
// comparison between pixel and neighbours
const auto neigh = cp.neigh == 1;
const auto kneigh = neigh ? 28.f : 38.f;
const auto somm = neigh ? 40.f : 50.f;
for (int dir = 1; dir < 4; dir++) { //neighbours proxi
koeLi[lvl * 3 + dir - 1][i * W_L + j] = (kneigh * koeLi[lvl * 3 + dir - 1][i * W_L + j] + 2.f * koeLi[lvl * 3 + dir - 1][(i - 1) * W_L + j] + 2.f * koeLi[lvl * 3 + dir - 1][(i + 1) * W_L + j]
+ 2.f * koeLi[lvl * 3 + dir - 1][i * W_L + j + 1] + 2.f * koeLi[lvl * 3 + dir - 1][i * W_L + j - 1] + koeLi[lvl * 3 + dir - 1][(i - 1) * W_L + j - 1]
+ koeLi[lvl * 3 + dir - 1][(i - 1) * W_L + j + 1] + koeLi[lvl * 3 + dir - 1][(i + 1) * W_L + j - 1] + koeLi[lvl * 3 + dir - 1][(i + 1) * W_L + j + 1]) / somm;
}
}
for (int dir = 1; dir < 4; dir++) {
//here I evaluate combinaison of vert / diag / horiz...we are with multiplicators of the signal
interm += SQR(koeLi[lvl * 3 + dir - 1][i * W_L + j]);
}
interm = sqrt(interm);
// interm /= 1.732f;//interm = pseudo variance koeLi
interm *= 0.57736721f;
float kampli = 1.f;
float eps = 0.0001f;
// I think this double ratio (alph, beta) is better than arctg
float alph = koeLi[lvl * 3][i * W_L + j] / (koeLi[lvl * 3 + 1][i * W_L + j] + eps); //ratio between horizontal and vertical
float beta = koeLi[lvl * 3 + 2][i * W_L + j] / (koeLi[lvl * 3 + 1][i * W_L + j] + eps); //ratio between diagonal and horizontal
float alipinfl = (eddlipampl - 1.f) / (1.f - eddlipinfl);
float blipinfl = eddlipampl - alipinfl;
//alph evaluate the direction of the gradient regularity Lipschitz
// if = 1 we are on an edge
// if 0 we are not
// we can change and use log..or Arctg but why ?? we can change if need ...
//Liamp=1 for eddlipinfl
//liamp > 1 for alp >eddlipinfl and alph < 1
//Liamp < 1 for alp < eddlipinfl and alph > 0
if (alph > 1.f) {
alph = 1.f / alph;
}
if (beta > 1.f) {
beta = 1.f / beta;
}
//take into account diagonal
//if in same value OK
//if not no edge or reduction
float bet = 1.f;
if (alph > eddlipinfl && beta < 0.85f * eddlipinfl) { //0.85 arbitrary value ==> eliminate from edge if H V D too different
bet = beta;
}
float AmpLip = 1.f;
if (alph > eddlipinfl) {
AmpLip = alipinfl * alph + blipinfl; //If beta low reduce kampli
kampli = SQR(bet) * AmpLip * aamp;
} else {
AmpLip = (1.f / eddlipinfl) * SQR(SQR(alph * bet)); //Strong Reduce if beta low
kampli = AmpLip / aamp;
}
interm *= kampli;
if (interm < cp.eddetthr / eddlow) {
interm = 0.01f; //eliminate too low values
}
//we can change this part of algo==> not equal but ponderate
koeLi[lvl * 3][i * W_L + j] = koeLi[lvl * 3 + 1][i * W_L + j] = koeLi[lvl * 3 + 2][i * W_L + j] = interm; //new value
//here KoeLi contains values where gradient is high and coef high, and eliminate low values...
}
}
}
// end
}
bool wavcurvecomp = false;//not enable if 0.75
if (wavblcurve) {
for (int i = 0; i < 500; i++) {
if (wavblcurve[i] != 0.) {
wavcurvecomp = true;
break;
}
}
}
std::unique_ptr<float[]> aft;
#ifdef _OPENMP
#pragma omp for schedule(dynamic) collapse(2)
#endif
for (int dir = 1; dir < 4; dir++) {
for (int lvl = 0; lvl < maxlvl; lvl++) {
int Wlvl_L = WaveletCoeffs_L.level_W(lvl);
int Hlvl_L = WaveletCoeffs_L.level_H(lvl);
float* const* WavCoeffs_L = WaveletCoeffs_L.level_coeffs(lvl);
ContAllL(koeLi, maxkoeLi[lvl * 3 + dir - 1], true, maxlvl, labco, varhue, varchrom, WavCoeffs_L, WavCoeffs_L0, lvl, dir, cp, Wlvl_L, Hlvl_L, skip, mean, sigma, MaxP, MaxN, wavCLVCcurve, waOpacityCurveW, waOpacityCurveSH, ChCurve, Chutili);
if (std::min(Wlvl_L, Hlvl_L) > 180) {
if (wavblcurve && wavcurvecomp && cp.blena) {
// printf("Blur level L\n");
float mea[10];
const float effect = cp.bluwav;
constexpr float offs = 1.f;
calceffect(lvl, mean, sigma, mea, effect, offs);
float lutFactor;
const float inVals[] = {0.05f, 0.2f, 0.7f, 1.f, 1.f, 0.8f, 0.6f, 0.4f, 0.2f, 0.1f, 0.01f};
const auto meaLut = buildMeaLut(inVals, mea, lutFactor);
if (!aft.get()) {
aft.reset(new float[Wlvl_L * Hlvl_L]);
}
//blur level
const float klev = wavblcurve[lvl * 55.5f] * 80.f / skip;
auto WavL = WavCoeffs_L[dir];
boxblur(WavL, aft.get(), klev, Wlvl_L, Hlvl_L, false);
int co = 0;
#ifdef __SSE2__
const vfloat lutFactorv = F2V(lutFactor);
for (; co < Hlvl_L * Wlvl_L - 3; co += 4) {
const vfloat valv = LVFU(WavL[co]);
STVFU(WavL[co], intp((*meaLut)[vabsf(valv) * lutFactorv], LVFU(aft[co]), valv));
}
#endif
for (; co < Hlvl_L * Wlvl_L; co++) {
WavL[co] = intp((*meaLut)[std::fabs(WavL[co]) * lutFactor], aft[co], WavL[co]);
}
}
}
}
}
}
}
void ImProcFunctions::WaveletAandBAllAB(wavelet_decomposition& WaveletCoeffs_a, wavelet_decomposition& WaveletCoeffs_b,
const cont_params &cp, FlatCurve* hhCurve, bool hhutili)
{
// StopWatch Stop1("WaveletAandBAllAB");
if (hhutili && cp.resena) { // H=f(H)
int W_L = WaveletCoeffs_a.level_W(0);
int H_L = WaveletCoeffs_a.level_H(0);
float* WavCoeffs_a0 = WaveletCoeffs_a.get_coeff0();
float* WavCoeffs_b0 = WaveletCoeffs_b.get_coeff0();
#ifdef _OPENMP
#pragma omp parallel num_threads(wavNestedLevels) if (wavNestedLevels>1)
#endif
{
#ifdef __SSE2__
float huebuffer[W_L] ALIGNED64;
float chrbuffer[W_L] ALIGNED64;
#endif // __SSE2__
#ifdef _OPENMP
#pragma omp for schedule(dynamic,16)
#endif
for (int i = 0; i < H_L; i++) {
#ifdef __SSE2__
// precalculate hue and chr
int k;
for (k = 0; k < W_L - 3; k += 4) {
const vfloat av = LVFU(WavCoeffs_a0[i * W_L + k]);
const vfloat bv = LVFU(WavCoeffs_b0[i * W_L + k]);
STVF(huebuffer[k], xatan2f(bv, av));
STVF(chrbuffer[k], vsqrtf(SQRV(av) + SQRV(bv)));
}
for (; k < W_L; k++) {
huebuffer[k] = xatan2f(WavCoeffs_b0[i * W_L + k], WavCoeffs_a0[i * W_L + k]);
chrbuffer[k] = sqrtf(SQR(WavCoeffs_b0[i * W_L + k]) + SQR(WavCoeffs_a0[i * W_L + k])) / 327.68f;
}
#endif // __SSE2__
for (int j = 0; j < W_L; j++) {
#ifdef __SSE2__
float hueR = huebuffer[j];
float chR = chrbuffer[j];
#else
float hueR = xatan2f(WavCoeffs_b0[i * W_L + j], WavCoeffs_a0[i * W_L + j]);
float chR = sqrtf(SQR(WavCoeffs_b0[i * W_L + j]) + SQR(WavCoeffs_a0[i * W_L + j]));
#endif
/* if (editID == EUID_WW_HHCurve) {//H pipette
float valpar =Color::huelab_to_huehsv2(hueR);
editWhatever->v(i,j) = valpar;
}
*/
float valparam = (static_cast<float>(hhCurve->getVal(Color::huelab_to_huehsv2(hueR))) - 0.5f) * 1.7f + hueR; //get H=f(H) 1.7 optimisation !
float2 sincosval = xsincosf(valparam);
WavCoeffs_a0[i * W_L + j] = chR * sincosval.y;
WavCoeffs_b0[i * W_L + j] = chR * sincosval.x;
}
}
}
}
}
void ImProcFunctions::WaveletcontAllAB(LabImage * labco, float ** varhue, float **varchrom, wavelet_decomposition& WaveletCoeffs_ab, const Wavblcurve & wavblcurve, const WavOpacityCurveW & waOpacityCurveW,
struct cont_params &cp, const bool useChannelA, int skip, float *meanab, float *sigmaab)
{
//BENCHFUN
int maxlvl = WaveletCoeffs_ab.maxlevel();
int W_L = WaveletCoeffs_ab.level_W(0);
int H_L = WaveletCoeffs_ab.level_H(0);
float* WavCoeffs_ab0 = WaveletCoeffs_ab.get_coeff0();
#ifdef _OPENMP
#pragma omp parallel num_threads(wavNestedLevels) if (wavNestedLevels>1)
#endif
{
if (cp.chrores != 0.f && cp.resena) { // cp.chrores == 0.f means all will be multiplied by 1.f, so we can skip the processing of residual
#ifdef _OPENMP
#pragma omp for nowait
#endif
for (int i = 0; i < W_L * H_L; i++) {
const float skyprot = cp.sky;
//chroma
int ii = i / W_L;
int jj = i - ii * W_L;
float modhue = varhue[ii][jj];
float scale = 1.f;
if (skyprot > 0.f) {
if ((modhue < cp.t_ry && modhue > cp.t_ly)) {
scale = (100.f - cp.sky) / 100.1f;
} else if ((modhue >= cp.t_ry && modhue < cp.b_ry)) {
scale = (100.f - cp.sky) / 100.1f;
float ar = (scale - 1.f) / (cp.t_ry - cp.b_ry);
float br = scale - cp.t_ry * ar;
scale = ar * modhue + br;
} else if ((modhue > cp.b_ly && modhue < cp.t_ly)) {
scale = (100.f - cp.sky) / 100.1f;
float al = (scale - 1.f) / (-cp.b_ly + cp.t_ly);
float bl = scale - cp.t_ly * al;
scale = al * modhue + bl;
}
} else if (skyprot < 0.f) {
if ((modhue > cp.t_ry || modhue < cp.t_ly)) {
scale = (100.f + cp.sky) / 100.1f;
}
}
WavCoeffs_ab0[i] *= (1.f + cp.chrores * (scale) / 100.f);
}
}
if (cp.cbena && cp.resena) { //if user select Toning and color balance
#ifdef _OPENMP
#pragma omp for nowait
#endif
for (int i = 0; i < W_L * H_L; i++) {
int ii = i / W_L;
int jj = i - ii * W_L;
float LL = (labco->L[ii * 2][jj * 2]) / 327.68f; //I use labco but I can use also WavCoeffs_L0 (more exact but more memory)
float sca = 1.f; //amplifier - reducter...about 1, but perhaps 0.6 or 1.3
if (useChannelA) { //green red (little magenta)
//transition to avoid artifacts with 6 between 30 to 36 and 63 to 69
float aa = (cp.grmed - cp.grlow) / 6.f;
float bb = cp.grlow - 30.f * aa;
float aaa = (cp.grhigh - cp.grmed) / 6.f;
float bbb = cp.grmed - 63.f * aaa;
if (LL < 30.f) { //shadows
WavCoeffs_ab0[i] += cp.grlow * (sca) * 300.f;
} else if (LL >= 30.f && LL < 36.f) { //transition
float tr = aa * LL + bb;
WavCoeffs_ab0[i] += tr * (sca) * 300.f;
} else if (LL >= 36.f && LL < 63.f) { //midtones
WavCoeffs_ab0[i] += cp.grmed * (sca) * 300.f;
} else if (LL >= 63.f && LL < 69.f) { //transition
float trh = aaa * LL + bbb;
WavCoeffs_ab0[i] += trh * (sca) * 300.f;
} else if (LL >= 69.f) { //highlights
WavCoeffs_ab0[i] += cp.grhigh * (sca) * 300.f;
}
} else { //blue yellow
//transition with 6 between 30 to 36 and 63 to 69
float aa1 = (cp.blmed - cp.bllow) / 6.f;
float bb1 = cp.bllow - 30.f * aa1;
float aaa1 = (cp.blhigh - cp.blmed) / 6.f;
float bbb1 = cp.blmed - 63.f * aaa1;
if (LL < 30.f) {
WavCoeffs_ab0[i] += cp.bllow * (sca) * 300.f;
} else if (LL >= 30.f && LL < 36.f) {
float tr1 = aa1 * LL + bb1;
WavCoeffs_ab0[i] += tr1 * (sca) * 300.f;
} else if (LL >= 36.f && LL < 63.f) {
WavCoeffs_ab0[i] += cp.blmed * (sca) * 300.f;
} else if (LL >= 63.f && LL < 69.f) {
float trh1 = aaa1 * LL + bbb1;
WavCoeffs_ab0[i] += trh1 * (sca) * 300.f;
} else if (LL >= 69.f) {
WavCoeffs_ab0[i] += cp.blhigh * (sca) * 300.f;
}
}
}
}
//Blur chroma
if (cp.blurcres != 0.f && cp.resena) {
int minWL = min(W_L, H_L);
//printf("skip=%i WL=%i HL=%i min=%i\n", skip, W_L, H_L, minWL);
if (minWL > 140) { //disabled if too low windows
constexpr float k = 0.5f;
float rad = k * cp.blurcres / skip;
float * bef = new float[W_L * H_L];
float * aft = new float[W_L * H_L];
for (int i = 0; i < H_L * W_L; i++) {
bef[i] = WavCoeffs_ab0[i];
}
boxblur(bef, aft, rad, W_L, H_L, false);
for (int i = 0; i < H_L * W_L; i++) {
WavCoeffs_ab0[i] = aft[i];
}
delete[] bef;
delete[] aft;
}
}
bool wavcurvecomp = false;//not enable if 0.75
if (wavblcurve) {
for (int i = 0; i < 500; i++) {
if (wavblcurve[i] != 0.) {
wavcurvecomp = true;
break;
}
}
}
std::unique_ptr<float[]> aft;
#ifdef _OPENMP
#pragma omp for schedule(dynamic) collapse(2)
#endif
for (int dir = 1; dir < 4; dir++) {
for (int lvl = 0; lvl < maxlvl; lvl++) {
int Wlvl_ab = WaveletCoeffs_ab.level_W(lvl);
int Hlvl_ab = WaveletCoeffs_ab.level_H(lvl);
float* const* WavCoeffs_ab = WaveletCoeffs_ab.level_coeffs(lvl);
ContAllAB(labco, maxlvl, varhue, varchrom, WavCoeffs_ab, WavCoeffs_ab0, lvl, dir, waOpacityCurveW, cp, Wlvl_ab, Hlvl_ab, useChannelA, meanab, sigmaab);
if(std::min(Wlvl_ab, Hlvl_ab) > 180) {
if (wavblcurve && wavcurvecomp && cp.blena && cp.chrwav > 0.f) {
float mea[10];
const float effect = cp.bluwav;
constexpr float offs = 1.f;
calceffect(lvl, meanab, sigmaab, mea, effect, offs);
float lutFactor;
const float inVals[] = {0.05f, 0.2f, 0.7f, 1.f, 1.f, 0.8f, 0.6f, 0.4f, 0.2f, 0.1f, 0.00f};
const auto meaLut = buildMeaLut(inVals, mea, lutFactor);
if (!aft.get()) {
aft.reset(new float[Wlvl_ab * Hlvl_ab]);
}
//blur level
const float klev = wavblcurve[lvl * 55.5f] * 80.f / skip;
boxblur(WavCoeffs_ab[dir], aft.get(), klev, Wlvl_ab, Hlvl_ab, false);
auto WavAb = WavCoeffs_ab[dir];
int co = 0;
#ifdef __SSE2__
const vfloat lutFactorv = F2V(lutFactor);
for (; co < Hlvl_ab * Wlvl_ab - 3; co += 4) {
const vfloat valv = LVFU(WavAb[co]);
STVFU(WavAb[co], intp((*meaLut)[vabsf(valv) * lutFactorv], LVFU(aft[co]), valv));
}
#endif
for (; co < Hlvl_ab * Wlvl_ab; co++) {
WavAb[co] = intp((*meaLut)[std::fabs(WavAb[co]) * lutFactor], aft[co], WavAb[co]);
}
}
}
}
}
}
}
void ImProcFunctions::calckoe (const float* WavCoeffs, float gradw, float tloww, float *koeLi, int level, int W_L, int H_L, float edd, float &maxkoeLi, float **tmC, bool multiThread)
{
const int borderL = tloww < 75.f ? 1 : 2;
if (tloww < 75.f) {
// I calculate coefficients with r size matrix 3x3 r=1 ; 5x5 r=2; 7x7 r=3
/*
float k[2*r][2*r];
for (int i=1;i<=(2*r+1);i++) {
for (int j=1;j<=(2*r+1);j++) {
k[i][j]=(1.f/6.283*sigma*sigma)*exp(-SQR(i-r-1)+SQR(j-r-1)/2.f*SQR(sigma));
}
}
//I could also use Gauss.h for 3x3
// If necessary I can put a 7x7 matrix
*/
float c0, c1, c2, mult;
if (tloww < 30.f) { //sigma=0.55
c0 = 8.94f;
c1 = 1.71f;
c2 = 0.33f;
mult = 0.0584795f;
} else if (tloww < 50.f) { //sigma=0.85
c0 = 4.0091f;
c1 = 2.0068f;
c2 = 1.0045f;
mult = 0.062288f;
} else { //sigma=1.1
c0 = 3.025f;
c1 = 2.001f;
c2 = 1.323f;
mult = 0.06127f;
}
c0 *= mult;
c1 *= mult;
c2 *= mult;
#ifdef _OPENMP
#pragma omp parallel for if(multiThread)
#endif
for (int i = 1; i < H_L - 1; i++) {
for (int j = 1; j < W_L - 1; j++) {
tmC[i][j] = c0 * WavCoeffs[i * W_L + j] +
c1 * ((WavCoeffs[(i - 1) * W_L + j] + WavCoeffs[(i + 1) * W_L + j]) + (WavCoeffs[i * W_L + j + 1] + WavCoeffs[i * W_L + j - 1])) +
c2 * ((WavCoeffs[(i - 1) * W_L + j - 1] + WavCoeffs[(i - 1) * W_L + j + 1]) + (WavCoeffs[(i + 1) * W_L + j - 1] + WavCoeffs[(i + 1) * W_L + j + 1]));
}
}
} else {
if (level > 1) { // do not activate 5x5 if level 0 or 1
// Gaussian 1.1
// 0.5 2 3 2 0.5
// 2 7 10 7 2
// 3 10 15 10 3
// 2 7 10 7 2
// 0.5 2 3 2 0.5
// divi 113
//Gaussian 1.4
// 2 4 5 4 2
// 4 9 12 9 4
// 5 12 15 12 5
// 4 9 12 9 4
// 2 4 5 4 2
// divi 159
float c0, c1, c2, c3, c4, c5, mult;
if (tloww < 85.f) { //sigma=1.1
c0 = 15.f;
c1 = 10.f;
c2 = 7.f;
c3 = 3.f;
c4 = 2.f;
c5 = 0.5f;
mult = 0.0088495f;
} else { //sigma=1.4
c0 = 15.f;
c1 = 12.f;
c2 = 9.f;
c3 = 5.f;
c4 = 4.f;
c5 = 2.f;
mult = 0.0062893f;
}
c0 *= mult;
c1 *= mult;
c2 *= mult;
c3 *= mult;
c4 *= mult;
c5 *= mult;
#ifdef _OPENMP
#pragma omp parallel for if(multiThread)
#endif
for (int i = 2; i < H_L - 2; i++) {
for (int j = 2; j < W_L - 2; j++) {
tmC[i][j] = c0 * WavCoeffs[i * W_L + j] +
c1 * ((WavCoeffs[(i - 1) * W_L + j] + WavCoeffs[(i + 1) * W_L + j]) + (WavCoeffs[i * W_L + j + 1] + WavCoeffs[i * W_L + j - 1])) +
c2 * ((WavCoeffs[(i - 1) * W_L + j - 1] + WavCoeffs[(i - 1) * W_L + j + 1]) + (WavCoeffs[(i + 1) * W_L + j - 1] + WavCoeffs[(i + 1) * W_L + j + 1])) +
c3 * ((WavCoeffs[(i - 2) * W_L + j] + WavCoeffs[(i + 2) * W_L + j]) + (WavCoeffs[i * W_L + j - 2] + WavCoeffs[i * W_L + j + 2])) +
c4 * ((WavCoeffs[(i - 2) * W_L + j - 1] + WavCoeffs[(i - 2) * W_L + j + 1]) + (WavCoeffs[(i + 2) * W_L + j + 1] + WavCoeffs[(i + 2) * W_L + j - 1]) +
(WavCoeffs[(i - 1) * W_L + j - 2] + WavCoeffs[(i - 1) * W_L + j + 2]) + (WavCoeffs[(i + 1) * W_L + j + 2] + WavCoeffs[(i + 1) * W_L + j - 2])) +
c5 * ((WavCoeffs[(i - 2) * W_L + j - 2] + WavCoeffs[(i - 2) * W_L + j + 2]) + (WavCoeffs[(i + 2) * W_L + j - 2] + WavCoeffs[(i + 2) * W_L + j + 2]));
}
}
} else {
#ifdef _OPENMP
#pragma omp parallel for if(multiThread)
#endif
for (int i = 0; i < H_L; i++) {
for (int j = 0; j < W_L; j++) {
koeLi[i * W_L + j] = 0.f;
}
}
return;
}
}
// fill borders with 1.f
int ii = 0;
for (; ii < borderL; ii++) {
for (int j = 0; j < W_L; j++) {
koeLi[ii * W_L + j] = 1.f;
}
}
for (; ii < H_L - borderL; ii++) {
for (int j = 0; j < borderL; j++) {
koeLi[ii * W_L + j] = 1.f;
}
for (int j = W_L - borderL; j < W_L; j++) {
koeLi[ii * W_L + j] = 1.f;
}
}
for (; ii < H_L; ii++) {
for (int j = 0; j < W_L; j++) {
koeLi[ii * W_L + j] = 1.f;
}
}
constexpr float thr = 40.f; //avoid artifact eg. noise...to test
const float thr2 = 1.5f * edd + gradw / 30.f; //edd can be modified in option ed_detect
const float diffFactor = gradw / 100.f;
for (int i = borderL; i < H_L - borderL; i++) {
for (int j = borderL; j < W_L - borderL; j++) {
// my own algo : probably a little false, but simpler as Lipschitz !
// Thr2 = maximum of the function ==> Lipsitch says = probably edge
float temp = rtengine::max(std::fabs(WavCoeffs[i * W_L + j]), thr);
koeLi[i * W_L + j] = rtengine::min(thr2, std::fabs(tmC[i][j] / temp)); // limit maxi
//it will be more complicated to calculate both Wh and Wv, but we have also Wd==> pseudo Lipschitz
if (koeLi[i * W_L + j] > maxkoeLi) {
maxkoeLi = koeLi[i * W_L + j];
}
float diff = maxkoeLi - koeLi[i * W_L + j];
diff *= diffFactor;
koeLi[i * W_L + j] = maxkoeLi - diff;
}
}
}
void ImProcFunctions::finalContAllL(float* const* WavCoeffs_L, float * WavCoeffs_L0, int level, int dir, const cont_params &cp,
int W_L, int H_L, float *mean, float *sigma, float *MaxP, const WavOpacityCurveWL & waOpacityCurveWL)
{
if (cp.diagcurv && cp.finena && MaxP[level] > 0.f && mean[level] != 0.f && sigma[level] != 0.f) { //curve
float insigma = 0.666f; //SD
float logmax = log(MaxP[level]); //log Max
float rapX = (mean[level] + cp.sigmafin * sigma[level]) / (MaxP[level]); //rapport between sD / max
float inx = log(insigma);
float iny = log(rapX);
float rap = inx / iny; //koef
float asig = 0.166f / (sigma[level] * cp.sigmafin);
float bsig = 0.5f - asig * mean[level];
float amean = 0.5f / (mean[level]);
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic, W_L * 16) num_threads(wavNestedLevels) if (wavNestedLevels>1)
#endif
for (int i = 0; i < W_L * H_L; i++) {
float absciss;
if (std::fabs(WavCoeffs_L[dir][i]) >= (mean[level] + cp.sigmafin * sigma[level])) { //for max
float valcour = xlogf(std::fabs(WavCoeffs_L[dir][i]));
float valc = valcour - logmax;
float vald = valc * rap;
absciss = xexpf(vald);
} else if (std::fabs(WavCoeffs_L[dir][i]) >= mean[level]) {
absciss = asig * std::fabs(WavCoeffs_L[dir][i]) + bsig;
} else {
absciss = amean * std::fabs(WavCoeffs_L[dir][i]);
}
float kc = waOpacityCurveWL[absciss * 500.f] - 0.5f;
float reduceeffect = kc <= 0.f ? 1.f : 1.5f;
float kinterm = 1.f + reduceeffect * kc;
kinterm = kinterm <= 0.f ? 0.01f : kinterm;
WavCoeffs_L[dir][i] *= kinterm;
}
}
int choicelevel = params->wavelet.Lmethod - 1;
choicelevel = choicelevel == -1 ? 4 : choicelevel;
int choiceClevel = 0;
if (params->wavelet.CLmethod == "one") {
choiceClevel = 0;
} else if (params->wavelet.CLmethod == "inf") {
choiceClevel = 1;
} else if (params->wavelet.CLmethod == "sup") {
choiceClevel = 2;
} else if (params->wavelet.CLmethod == "all") {
choiceClevel = 3;
}
int choiceDir = 0;
if (params->wavelet.Dirmethod == "one") {
choiceDir = 1;
} else if (params->wavelet.Dirmethod == "two") {
choiceDir = 2;
} else if (params->wavelet.Dirmethod == "thr") {
choiceDir = 3;
} else if (params->wavelet.Dirmethod == "all") {
choiceDir = 0;
}
int dir1 = (choiceDir == 2) ? 1 : 2;
int dir2 = (choiceDir == 3) ? 1 : 3;
if (choiceClevel < 3) { // not all levels visible, paint residual
if (level == 0) {
if (cp.backm != 2) { // nothing to change when residual is used as background
float backGroundColor = (cp.backm == 1) ? 12000.f : 0.f;
for (int i = 0; i < W_L * H_L; i++) {
WavCoeffs_L0[i] = backGroundColor;
}
}
}
}
if (choiceClevel == 0) { // Only one level
if (choiceDir == 0) { // All directions
if (level != choicelevel) { // zero all for the levels != choicelevel
for (int d = 1; d < 4; d++) {
for (int i = 0; i < W_L * H_L; i++) {
WavCoeffs_L[d][i] = 0.f;
}
}
}
} else { // zero the unwanted directions for level == choicelevel
if (choicelevel >= cp.maxilev) {
for (int d = 1; d < 4; d++) {
for (int i = 0; i < W_L * H_L; i++) {
WavCoeffs_L[d][i] = 0.f;
}
}
} else if (level != choicelevel) { // zero all for the levels != choicelevel
for (int i = 0; i < W_L * H_L; i++) {
WavCoeffs_L[dir1][i] = WavCoeffs_L[dir2][i] = 0.f;
}
}
}
} else if (choiceClevel == 1) { // Only below level
if (choiceDir == 0) { // All directions
if (level > choicelevel) {
for (int d = 1; d < 4; d++) {
for (int i = 0; i < W_L * H_L; i++) {
WavCoeffs_L[d][i] = 0.f;
}
}
}
} else { // zero the unwanted directions for level >= choicelevel
if (level > choicelevel) {
for (int i = 0; i < W_L * H_L; i++) {
WavCoeffs_L[dir1][i] = WavCoeffs_L[dir2][i] = 0.f;
}
}
}
} else if (choiceClevel == 2) { // Only above level
if (choiceDir == 0) { // All directions
if (level <= choicelevel) {
for (int d = 1; d < 4; d++) {
for (int i = 0; i < W_L * H_L; i++) {
WavCoeffs_L[d][i] = 0.f;
}
}
}
} else { // zero the unwanted directions for level >= choicelevel
if (choicelevel >= cp.maxilev) {
for (int d = 1; d < 4; d++) {
for (int i = 0; i < W_L * H_L; i++) {
WavCoeffs_L[d][i] = 0.f;
}
}
}
else if (level <= choicelevel) {
for (int i = 0; i < W_L * H_L; i++) {
WavCoeffs_L[dir1][i] = WavCoeffs_L[dir2][i] = 0.f;
}
}
}
}
}
void ImProcFunctions::ContAllL(float *koeLi[12], float maxkoeLi, bool lipschitz, int maxlvl, LabImage * labco, const float* const* varhue, const float* const* varchrom, float* const* WavCoeffs_L, float * WavCoeffs_L0, int level, int dir, struct cont_params &cp,
int W_L, int H_L, int skip, float *mean, float *sigma, float *MaxP, float *MaxN, const WavCurve & wavCLVCcurve, const WavOpacityCurveW & waOpacityCurveW, const WavOpacityCurveSH & waOpacityCurveSH, FlatCurve* ChCurve, bool Chutili)
{
assert(level >= 0);
assert(maxlvl > level);
static const float scales[10] = {1.f, 2.f, 4.f, 8.f, 16.f, 32.f, 64.f, 128.f, 256.f, 512.f};
float scaleskip[10];
for (int sc = 0; sc < 10; sc++) {
scaleskip[sc] = scales[sc] / skip;
}
/*
if (settings->verbose) {
printf("level=%i mean=%f sigma=%f maxp=%f\n", level, mean[level], sigma[level], MaxP[level]);
}
*/
constexpr float t_r = 40.f;
constexpr float t_l = 10.f;
constexpr float b_r = 75.f;
constexpr float edd = 3.f;
constexpr float eddstrength = 1.3f;
constexpr float aedstr = (eddstrength - 1.f) / 90.f;
constexpr float bedstr = 1.f - 10.f * aedstr;
std::unique_ptr<float[]> beta(new float[W_L * H_L]);
for (int co = 0; co < H_L * W_L; co++) {
beta[co] = 1.f;
}
if (cp.eff < 2.5f) {
float effect = cp.eff;
float offs = 1.f;
float mea[10];
calceffect(level, mean, sigma, mea, effect, offs);
for (int co = 0; co < H_L * W_L; co++) {
float WavCL = std::fabs(WavCoeffs_L[dir][co]);
if (WavCL < mea[0]) {
beta[co] = 0.05f;
} else if (WavCL < mea[1]) {
beta[co] = 0.2f;
} else if (WavCL < mea[2]) {
beta[co] = 0.7f;
} else if (WavCL < mea[3]) {
beta[co] = 1.f; //standard
} else if (WavCL < mea[4]) {
beta[co] = 1.f;
} else if (WavCL < mea[5]) {
beta[co] = 0.8f; //+sigma
} else if (WavCL < mea[6]) {
beta[co] = 0.6f;
} else if (WavCL < mea[7]) {
beta[co] = 0.4f;
} else if (WavCL < mea[8]) {
beta[co] = 0.2f; // + 2 sigma
} else if (WavCL < mea[9]) {
beta[co] = 0.1f;
} else {
beta[co] = 0.0f;
}
}
}
if (cp.val > 0 && cp.edgeena) {
float * koe = nullptr;
float maxkoe = 0.f;
if (!lipschitz) {
koe = new float [H_L * W_L];
for (int i = 0; i < W_L * H_L; i++) {
koe[i] = 0.f;
}
maxkoe = 0.f;
if (cp.detectedge) {
float** tmC;
int borderL = 1;
tmC = new float*[H_L];
for (int i = 0; i < H_L; i++) {
tmC[i] = new float[W_L];
}
{
for (int i = 1; i < H_L - 1; i++) {
for (int j = 1; j < W_L - 1; j++) {
//edge detection wavelet TMC Canny
// also possible to detect noise with 5x5 instead of 3x3
tmC[i][j] = (4.f * WavCoeffs_L[dir][i * W_L + j] + 2.f * WavCoeffs_L[dir][(i - 1) * W_L + j] + 2.f * WavCoeffs_L[dir][(i + 1) * W_L + j]
+ 2.f * WavCoeffs_L[dir][i * W_L + j + 1] + 2.f * WavCoeffs_L[dir][i * W_L + j - 1] + WavCoeffs_L[dir][(i - 1) * W_L + j - 1]
+ WavCoeffs_L[dir][(i - 1) * W_L + j + 1] + WavCoeffs_L[dir][(i + 1) * W_L + j - 1] + WavCoeffs_L[dir][(i + 1) * W_L + j + 1]) / 16.f;
// apply to each direction Wavelet level : horizontal / vertiacle / diagonal
}
}
}
for (int i = borderL; i < H_L - borderL; i++) {
for (int j = borderL; j < W_L - borderL; j++) {
// my own algo : probably a little false, but simpler as Lipschitz !
float thr = 40.f; //avoid artifact eg. noise...to test
float thr2 = edd; //edd can be modified in option ed_detect
thr2 += cp.eddet / 30.f; //to test
float temp = WavCoeffs_L[dir][i * W_L + j];
if (temp >= 0.f && temp < thr) {
temp = thr;
}
if (temp < 0.f && temp > -thr) {
temp = -thr;
}
koe[i * W_L + j] = rtengine::min(thr2, std::fabs(tmC[i][j] / temp));
maxkoe = rtengine::max(maxkoe, koe[i * W_L + j]);
float diff = maxkoe - koe[i * W_L + j];
diff *= (cp.eddet / 100.f);
float interm = maxkoe - diff;
if (interm < cp.eddetthr / 30.f) {
interm = 0.01f;
}
koe[i * W_L + j] = interm;
}
}
for (int i = 0; i < H_L; i++) {
delete [] tmC[i];
}
delete [] tmC;
}
}
//end detect edge
float rad = ((float)cp.rad) / 60.f; //radius ==> not too high value to avoid artifacts
float value = ((float)cp.val) / 8.f; //strength
if (scaleskip[1] < 1.f) {
float atten01234 = 0.80f;
value *= (atten01234 * scaleskip[1]); //for zoom < 100% reduce strength...I choose level 1...but!!
}
float edghig = settings->edghi;//increase or reduce "reinforce"
float edglow = settings->edglo;//increase or reduce "reduce"
float limrad = settings->limrad;//threshold action in function radius (rad)
// printf("edghi=%f edglo=%f limrad=%f\n", edghig, edglow, limrad);
// value *= beta;
float edge = 1.f;
float lim0 = limrad; //arbitrary limit for low radius and level between 2 or 3 to 30 maxi
float lev = float (level);
float repart = (float)cp.til;
if (cp.reinforce != 2) {
const float brepart =
cp.reinforce == 1
? edghig
: edglow;
const float arepart = -(brepart - 1.f) / (lim0 / 60.f);
if (rad < (lim0 / 60.f)) {
repart *= (arepart * rad + brepart); //linear repartition of repart
}
}
float al0 = 1.f + (repart) / 50.f;
float al10 = 1.0f; //arbitrary value ==> less = take into account high levels
// float ak =-(al0-al10)/10.f;//10 = maximum levels
float ak = -(al0 - al10) / 10.f; //10 = maximum levels
float bk = al0;
float koef = ak * level + bk; //modulate for levels : more levels high, more koef low ==> concentrated action on low levels, without or near for high levels
float expkoef = -std::pow(std::fabs(rad - lev), koef); //reduce effect for high levels
// printf("repart=%f\n", repart);
if (cp.reinforce == 3) {
if (rad < (lim0 / 60.f) && level == 0) {
expkoef *= abs(repart); //reduce effect for low values of rad and level=0==> quasi only level 1 is effective
}
}
if (cp.reinforce == 1) {
if (rad < (lim0 / 60.f) && level == 1) {
expkoef /= repart; //increase effect for low values of rad and level=1==> quasi only level 0 is effective
}
}
//take into account local contrast
float refin = value * exp(expkoef);
if (cp.link && cp.noiseena) { //combi
{
if (level == 0) {
refin *= (1.f + cp.lev0s / 50.f); // we can change this sensibility!
}
if (level == 1) {
refin *= (1.f + cp.lev1s / 50.f);
}
if (level == 2) {
refin *= (1.f + cp.lev2s / 50.f);
}
if (level == 3) {
refin *= (1.f + cp.lev3s / 50.f);
}
}
}
float edgePrecalc = 1.f + refin; //estimate edge "pseudo variance"
if (cp.EDmet == 2 && MaxP[level] > 0.f) { //curve
// if (exa) {//curve
float insigma = 0.666f; //SD
float logmax = log(MaxP[level]); //log Max
float rapX = (mean[level] + sigma[level]) / (MaxP[level]); //rapport between sD / max
float inx = log(insigma);
float iny = log(rapX);
float rap = inx / iny; //koef
float asig = 0.166f / (sigma[level]);
float bsig = 0.5f - asig * mean[level];
float amean = 0.5f / (mean[level]);
float absciss = 0.f;
float kinterm;
float kmul;
int borderL = 1;
for (int i = borderL; i < H_L - borderL; i++) {
for (int j = borderL; j < W_L - borderL; j++) {
int k = i * W_L + j;
if (cp.detectedge) {
if (!lipschitz) {
if (cp.eddet > 10.f) {
edge = (aedstr * cp.eddet + bedstr) * (edgePrecalc * (1.f + koe[k])) / (1.f + 0.9f * maxkoe);
} else {
edge = (edgePrecalc * (1.f + koe[k])) / (1.f + 0.9f * maxkoe);
}
}
if (lipschitz) {
if (level < 4) {
edge = 1.f + (edgePrecalc - 1.f) * (koeLi[level * 3][k]) / (1.f + 0.9f * maxkoeLi);
} else {
edge = edgePrecalc;
}
}
} else {
edge = edgePrecalc;
}
if (cp.edgcurv) {
if (std::fabs(WavCoeffs_L[dir][k]) >= (mean[level] + sigma[level])) { //for max
float valcour = xlogf(std::fabs(WavCoeffs_L[dir][k]));
float valc = valcour - logmax;
float vald = valc * rap;
absciss = exp(vald);
} else if (std::fabs(WavCoeffs_L[dir][k]) >= mean[level] && std::fabs(WavCoeffs_L[dir][k]) < (mean[level] + sigma[level])) {
absciss = asig * std::fabs(WavCoeffs_L[dir][k]) + bsig;
} else if (std::fabs(WavCoeffs_L[dir][k]) < mean[level]) {
absciss = amean * std::fabs(WavCoeffs_L[dir][k]);
}
// Threshold adjuster settings==> approximative for curve
//kmul about average cbrt(3--40 / 10)==>1.5 to 2.5
//kmul about SD 10--60 / 35 ==> 2
// kmul about low cbrt((5.f+cp.edg_low)/5.f);==> 1.5
// kmul about max ==> 9
// we can change these values
// result is different not best or bad than threshold slider...but similar
constexpr float abssd = 4.f; //amplification reference
constexpr float bbssd = 2.f; //mini ampli
float kmuld = 0.f;
if (absciss > 0.666f && absciss < 1.f) {
constexpr float maxamp = 2.5f; //maxi ampli at end
constexpr float maxampd = 10.f; //maxi ampli at end
constexpr float a_abssd = (maxamp - abssd) / 0.333f;
constexpr float b_abssd = maxamp - a_abssd;
constexpr float da_abssd = (maxampd - abssd) / 0.333f;
constexpr float db_abssd = maxampd - da_abssd;
kmul = a_abssd * absciss + b_abssd; //about max ==> kinterm
kmuld = da_abssd * absciss + db_abssd;
} else {
constexpr float am = (abssd - bbssd) / 0.666f;
kmul = kmuld = absciss * am + bbssd;
}
const float kc = kmul * (wavCLVCcurve[absciss * 500.f] - 0.5f);
if (kc >= 0.f) {
float reduceeffect = 0.6f;
kinterm = 1.f + reduceeffect * kmul * (wavCLVCcurve[absciss * 500.f] - 0.5f); //about 1 to 3 general and big amplification for max (under 0)
} else {
const float kcd = kmuld * (wavCLVCcurve[absciss * 500.f] - 0.5f);
kinterm = 1.f - (SQR(kcd)) / 10.f;
}
if (kinterm < 0.f) {
kinterm = 0.01f;
}
edge *= kinterm;
edge = rtengine::max(edge, 1.f);
}
WavCoeffs_L[dir][k] *= (1.f + (edge - 1.f) * beta[k]);
}
}
} else if (cp.EDmet == 1) { //threshold adjuster
float MaxPCompare = MaxP[level] * SQR(cp.edg_max / 100.f); //100 instead of b_r...case if b_r < 100
float MaxNCompare = MaxN[level] * SQR(cp.edg_max / 100.f); //always reduce a little edge for near max values
float edgeSdCompare = (mean[level] + 1.5f * sigma[level]) * SQR(cp.edg_sd / t_r); // 1.5 standard deviation #80% range between mean 50% and 80%
float edgeMeanCompare = mean[level] * SQR(cp.edg_mean / t_l);
float edgeLowCompare = (5.f + SQR(cp.edg_low));
float edgeMeanFactor = cbrt(cp.edg_mean / t_l);
float interm;
if (cp.edg_low < 10.f) {
interm = cbrt((5.f + cp.edg_low) / 5.f);
} else {
interm = 1.437f; //cbrt(3);
}
float edgeLowFactor = interm;
float edgeSdFactor = cp.edg_sd / t_r;
float edgeMaxFactor = SQR(cp.edg_max / b_r);
float edgMaxFsup = (cp.edg_max / b_r); //reduce increase of effect for high values contrast..if slider > b_r
//for (int i=0; i<W_L*H_L; i++) {
int borderL = 1;
for (int i = borderL; i < H_L - borderL; i++) {
for (int j = borderL; j < W_L - borderL; j++) {
int k = i * W_L + j;
if (cp.detectedge) {
if (!lipschitz) {
if (cp.eddet > 10.f) {
edge = (aedstr * cp.eddet + bedstr) * (edgePrecalc * (1.f + koe[k])) / (1.f + 0.9f * maxkoe);
} else {
edge = (edgePrecalc * (1.f + koe[k])) / (1.f + 0.9f * maxkoe);
}
}
if (lipschitz) {
if (level < 4) {
edge = 1.f + (edgePrecalc - 1.f) * (koeLi[level * 3][k]) / (1.f + 0.9f * maxkoeLi);
} else {
edge = edgePrecalc;
}
}
} else {
edge = edgePrecalc;
}
//algorithm that takes into account local contrast
// I use a thresholdadjuster with
// Bottom left ==> minimal low value for local contrast (not 0, but 5...we can change)
// 0 10*10 35*35 100*100 substantially correspond to the true distribution of low value, mean, standard-deviation and max (ed 5, 50, 400, 4000
// Top left ==> mean reference value (for each level), we can change cbrt(cp.edg_mean/10.f)
// Top Right==> standard deviation (for each level) we can change (cp.edg_sd/35.f)
// bottom right ==> Max for positif and negatif contrast we can change cp.edg_max/100.f
// If we move sliders to the left, local contrast is reduced
// if we move sliders to the right local contrast is increased
// MaxP, MaxN, mean, sigma are calculated if necessary (val > 0) by evaluate2(), eval2(), aver() , sigma()
// if (b_r < 100.f && cp.edg_max / b_r > 1.f) { //in case of b_r < 100 and slider move to right
if (cp.edg_max / b_r > 1.f) { //in case of b_r < 100 and slider move to right
if (WavCoeffs_L[dir][k] > MaxPCompare * cp.edg_max / b_r) {
edge *= edgMaxFsup;
if (edge < 1.f) {
edge = 1.f;
}
} else if (WavCoeffs_L[dir][k] < MaxNCompare * cp.edg_max / b_r) {
edge *= edgMaxFsup;
if (edge < 1.f) {
edge = 1.f;
}
}
}
if (WavCoeffs_L[dir][k] > MaxPCompare) {
edge *= edgeMaxFactor;
if (edge < 1.f) {
edge = 1.f;
}
}//reduce edge if > new max
else if (WavCoeffs_L[dir][k] < MaxNCompare) {
edge *= edgeMaxFactor;
if (edge < 1.f) {
edge = 1.f;
}
}
if (std::fabs(WavCoeffs_L[dir][k]) >= edgeMeanCompare && std::fabs(WavCoeffs_L[dir][k]) < edgeSdCompare) {
//if (std::fabs(WavCoeffs_L[dir][i]) > edgeSdCompare) {
edge *= edgeSdFactor;
if (edge < 1.f) {
edge = 1.f;
}
}//modify effect if sd change
if (std::fabs(WavCoeffs_L[dir][k]) < edgeMeanCompare) {
edge *= edgeMeanFactor;
if (edge < 1.f) {
edge = 1.f;
}
} // modify effect if mean change
if (std::fabs(WavCoeffs_L[dir][k]) < edgeLowCompare) {
edge *= edgeLowFactor;
if (edge < 1.f) {
edge = 1.f;
}
}
WavCoeffs_L[dir][k] *= (1.f + (edge - 1.f) * beta[k]);
}
}
}
if (!lipschitz) {
delete [] koe;
}
if (!(cp.bam && cp.finena)) {
beta.reset();
}
}
if (!cp.link && cp.noiseena) { //used both with denoise 1 2 3
float refine = 0.f;
if (level == 0) {
refine = cp.lev0s / 40.f;
} else if (level == 1) {
refine = cp.lev1s / 40.f;
} else if (level == 2) {
refine = cp.lev2s / 40.f;
} else if (level == 3) {
refine = cp.lev3s / 40.f;
}
if (refine != 0.f) {
refine += 1.f;
for (int i = 0; i < W_L * H_L; i++) {
WavCoeffs_L[dir][i] *= refine;
}
}
}
float cpMul = cp.mul[level];
if (cpMul != 0.f && cp.contena) { // cpMul == 0.f means all will be multiplied by 1.f, so we can skip this
const float skinprot = params->wavelet.skinprotect;
const float skinprotneg = -skinprot;
const float factorHard = (1.f - skinprotneg / 100.f);
const float offs = params->wavelet.offset;
const float lowthr = params->wavelet.lowthr;
float mea[10];
float effect = cp.sigm;
float lbeta;
calceffect(level, mean, sigma, mea, effect, offs);
bool useChromAndHue = (skinprot != 0.f || cp.HSmet);
float modchro;
float red0 = 0.005f * (110.f - lowthr);
float red1 = 0.008f * (110.f - lowthr);
float red2 = 0.011f * (110.f - lowthr);
// int n = 0;
// int m = 0;
// int p = 0;
// int q = 0;
for (int i = 0; i < W_L * H_L; i++) {
float kLlev = 1.f;
if (cpMul < 0.f) {
lbeta = 1.f; // disabled for negatives values "less contrast"
} else {
float WavCL = std::fabs(WavCoeffs_L[dir][i]);
//reduction amplification: max action between mean / 2 and mean + sigma
// arbitrary coefficient, we can add a slider !!
if (WavCL < mea[0]) {
lbeta = 0.4f * red0;//preserve very low contrast (sky...)
} else if (WavCL < mea[1]) {
lbeta = 0.5f * red1;
} else if (WavCL < mea[2]) {
lbeta = 0.7f * red2;
} else if (WavCL < mea[3]) {
lbeta = 1.f; //standard
} else if (WavCL < mea[4]) {
lbeta = 1.f;
} else if (WavCL < mea[5]) {
lbeta = 0.8f; //+sigma
} else if (WavCL < mea[6]) {
lbeta = 0.6f;
} else if (WavCL < mea[7]) {
lbeta = 0.4f;
} else if (WavCL < mea[8]) {
lbeta = 0.2f; // + 2 sigma
} else if (WavCL < mea[9]) {
lbeta = 0.1f;
} else {
lbeta = 0.0f;
}
}
float scale = 1.f;
float scale2 = 1.f;
float LL100, LL100res, LL100init, kH[maxlvl];
int ii = i / W_L;
int jj = i - ii * W_L;
float LL = labco->L[ii * 2][jj * 2];
LL100 = LL100init = LL / 327.68f;
LL100res = WavCoeffs_L0[i] / 327.68f;
float delta = std::fabs(LL100init - LL100res) / (maxlvl / 2);
for (int ml = 0; ml < maxlvl; ml++) {
if (ml < maxlvl / 2) {
kH[ml] = (LL100res + ml * delta) / LL100res; // fixed a priori max to level middle
} else {
kH[ml] = (LL100init - ml * delta) / LL100res;
}
}
if (useChromAndHue) {
float modhue = varhue[ii][jj];
modchro = varchrom[ii * 2][jj * 2];
// hue chroma skin with initial lab data
scale = 1.f;
if (skinprot > 0.f) {
Color::SkinSatCbdl2(LL100, modhue, modchro, skinprot, scale, true, cp.b_l, cp.t_l, cp.t_r, cp.b_r, 0); //0 for skin and extand
} else if (skinprot < 0.f) {
Color::SkinSatCbdl2(LL100, modhue, modchro, skinprotneg, scale, false, cp.b_l, cp.t_l, cp.t_r, cp.b_r, 0);
if (scale == 1.f) {
scale = factorHard;
} else {
scale = 1.f;
}
}
}
if (Chutili) {
int i_i = i / W_L;
int j_j = i - i_i * W_L;
float modhue2 = varhue[i_i][j_j];
float valparam = static_cast<float>(ChCurve->getVal(Color::huelab_to_huehsv2(modhue2))) - 0.5f; //get valparam=f(H)
if (valparam > 0.f) {
scale2 = 1.f + 3.f * valparam; //arbitrary value
} else {
scale2 = 1.f + 1.9f * valparam; //near 0 but not zero if curve # 0
}
}
//linear transition HL
float diagacc = 1.f;
float alpha = (1024.f + 15.f * (float) cpMul * scale * scale2 * lbeta * diagacc) / 1024.f ;
// if (cp.HSmet && cp.contena) {
if (cp.HSmet && cp.contena && waOpacityCurveSH) {
float aaal = (1.f - alpha) / ((cp.b_lhl - cp.t_lhl) * kH[level]);
float bbal = 1.f - aaal * cp.b_lhl * kH[level];
float aaar = (alpha - 1.f) / (cp.t_rhl - cp.b_rhl) * kH[level];
float bbbr = 1.f - cp.b_rhl * aaar * kH[level];
//linear transition Shadows
float aaalS = (1.f - alpha) / (cp.b_lsl - cp.t_lsl);
float bbalS = 1.f - aaalS * cp.b_lsl;
float aaarS = (alpha - 1.f) / (cp.t_rsl - cp.b_rsl);
float bbbrS = 1.f - cp.b_rsl * aaarS;
if (level <= cp.numlevH) { //in function of levels
if ((LL100 > cp.t_lhl * kH[level] && LL100 < cp.t_rhl * kH[level])) {
kLlev = alpha;
} else if ((LL100 > cp.b_lhl * kH[level] && LL100 <= cp.t_lhl * kH[level])) {
kLlev = aaal * LL100 + bbal;
} else if ((LL100 > cp.t_rhl * kH[level] && LL100 <= cp.b_rhl * kH[level])) {
kLlev = aaar * LL100 + bbbr;
} else {
kLlev = 1.f;
}
}
if (level >= cp.numlevS - 1) {
// if(klevred < 0.f && level >= 3) {//level > 3 to avoid bad use of the curve if user put positives values negatives
if ((LL100 > cp.t_lsl && LL100 < cp.t_rsl)) {
kLlev = alpha;
// n++;
} else if ((LL100 > cp.b_lsl && LL100 <= cp.t_lsl)) {
kLlev = aaalS * LL100 + bbalS;
// m++;
} else if ((LL100 > cp.t_rsl && LL100 <= cp.b_rsl)) {
kLlev = aaarS * LL100 + bbbrS;
// p++;
} else {
kLlev = 1.f;
// q++;
}
}
} else {
kLlev = alpha;
}
WavCoeffs_L[dir][i] *= (kLlev);
}
// printf("lev=%i n=%i m=%i p=%i q=%i\n", level, n, m, p, q);
}
if (waOpacityCurveW) {
cp.opaW = true;
}
if (cp.bam && cp.finena) {
const float effect = cp.sigmadir;
constexpr float offs = 1.f;
float mea[10];
calceffect(level, mean, sigma, mea, effect, offs);
for (int co = 0; co < H_L * W_L; co++) {
float WavCL = std::fabs(WavCoeffs_L[dir][co]);
if (WavCL < mea[0]) {
beta[co] = 0.05f;
} else if (WavCL < mea[1]) {
beta[co] = 0.2f;
} else if (WavCL < mea[2]) {
beta[co] = 0.7f;
} else if (WavCL < mea[3]) {
beta[co] = 1.f; //standard
} else if (WavCL < mea[4]) {
beta[co] = 1.f;
} else if (WavCL < mea[5]) {
beta[co] = 0.8f; //+sigma
} else if (WavCL < mea[6]) {
beta[co] = 0.6f;
} else if (WavCL < mea[7]) {
beta[co] = 0.4f;
} else if (WavCL < mea[8]) {
beta[co] = 0.2f; // + 2 sigma
} else if (WavCL < mea[9]) {
beta[co] = 0.1f;
} else {
beta[co] = 0.01f;
}
}
if (cp.opaW && cp.BAmet == 2) {
int iteration = cp.ite;
int itplus = 7 + iteration;
int itmoins = 7 - iteration;
int med = maxlvl / 2;
int it;
if (level < med) {
it = itmoins;
} else if (level == med) {
it = 7;
} else { /*if (level > med)*/
it = itplus;
}
for (int j = 0; j < it; j++) {
//float bal = cp.balan;//-100 +100
float kba = 1.f;
// if (dir <3) kba= 1.f + bal/600.f;
// if (dir==3) kba = 1.f - bal/300.f;
for (int i = 0; i < W_L * H_L; i++) {
int ii = i / W_L;
int jj = i - ii * W_L;
float LL100 = labco->L[ii * 2][jj * 2] / 327.68f;
float k1 = 0.3f * (waOpacityCurveW[6.f * LL100] - 0.5f); //k1 between 0 and 0.5 0.5==> 1/6=0.16
float k2 = k1 * 2.f;
if (dir < 3) {
kba = 1.f + k1;
}
if (dir == 3) {
kba = 1.f - k2;
}
WavCoeffs_L[dir][i] *= (1.f + (kba - 1.f) * beta[i]);
}
}
}
if (cp.BAmet == 1) {
int iteration = cp.ite;
int itplus = 7 + iteration;
int itmoins = 7 - iteration;
int med = maxlvl / 2;
int it;
if (level < med) {
it = itmoins;
} else if (level == med) {
it = 7;
} else { /*if (level > med)*/
it = itplus;
}
for (int j = 0; j < it; j++) {
float bal = cp.balan;//-100 +100
float kba = 1.f;
// if (dir <3) kba= 1.f + bal/600.f;
// if (dir==3) kba = 1.f - bal/300.f;
for (int i = 0; i < W_L * H_L; i++) {
int ii = i / W_L;
int jj = i - ii * W_L;
float k1 = 600.f;
float k2 = 300.f;
float LL100 = labco->L[ii * 2][jj * 2] / 327.68f;
constexpr float aa = 4970.f;
constexpr float bb = -397000.f;
constexpr float b0 = 100000.f;
constexpr float a0 = -4970.f;
if (LL100 > 80.f) {
k1 = aa * LL100 + bb;
k2 = 0.5f * k1;
}
if (LL100 < 20.f) {
k1 = a0 * LL100 + b0;
k2 = 0.5f * k1;
}
//k1=600.f;
//k2=300.f;
//k1=0.3f*(waOpacityCurveW[6.f*LL100]-0.5f);//k1 between 0 and 0.5 0.5==> 1/6=0.16
//k2=k1*2.f;
if (dir < 3) {
kba = 1.f + bal / k1;
}
if (dir == 3) {
kba = 1.f - bal / k2;
}
WavCoeffs_L[dir][i] *= (1.f + (kba - 1.f) * beta[i]);
}
}
}
}
// to see each level of wavelet ...level from 0 to 8
// int choicelevel = params->wavelet.Lmethod - 1;
// choicelevel = choicelevel == -1 ? 4 : choicelevel;
}
void ImProcFunctions::ContAllAB(LabImage * labco, int maxlvl, float ** varhue, float **varchrom, float* const* WavCoeffs_ab, float * WavCoeffs_ab0, int level, int dir, const WavOpacityCurveW & waOpacityCurveW, struct cont_params &cp,
int W_ab, int H_ab, const bool useChannelA, float *meanab, float *sigmaab)
{
float cpMul = cp.mul[level];
if (cpMul != 0.f && cp.CHmet == 2 && cp.chro != 0.f && cp.chromena) { // cpMul == 0.f or cp.chro = 0.f means all will be multiplied by 1.f, so we can skip this
const float skinprot = params->wavelet.skinprotect;
const float skinprotneg = -skinprot;
const float factorHard = (1.f - skinprotneg / 100.f);
const float cpChrom = cp.chro;
//to adjust increase contrast with local contrast
bool useSkinControl = (skinprot != 0.f);
float mea[10];
float effect = cp.sigmacol;
float betaab;
float offs = 1.f;
calceffect(level, meanab, sigmaab, mea, effect, offs);
for (int i = 0; i < W_ab * H_ab; i++) {
float WavCab = std::fabs(WavCoeffs_ab[dir][i]);
if (WavCab < mea[0]) {
betaab = 0.05f;
} else if (WavCab < mea[1]) {
betaab = 0.2f;
} else if (WavCab < mea[2]) {
betaab = 0.7f;
} else if (WavCab < mea[3]) {
betaab = 1.f; //standard
} else if (WavCab < mea[4]) {
betaab = 1.f;
} else if (WavCab < mea[5]) {
betaab = 0.8f; //+sigma
} else if (WavCab < mea[6]) {
betaab = 0.6f;
} else if (WavCab < mea[7]) {
betaab = 0.4f;
} else if (WavCab < mea[8]) {
betaab = 0.2f; // + 2 sigma
} else if (WavCab < mea[9]) {
betaab = 0.1f;
} else {
betaab = 0.0f;
}
float scale = 1.f;
if (useSkinControl) {
int ii = i / W_ab;
int jj = i - ii * W_ab;
float LL100 = labco->L[ii * 2][jj * 2] / 327.68f;
float modhue = varhue[ii][jj];
float modchro = varchrom[ii * 2][jj * 2];
// hue chroma skin with initial lab data
if (skinprot > 0.f) {
Color::SkinSatCbdl2(LL100, modhue, modchro, skinprot, scale, true, cp.b_l, cp.t_l, cp.t_r, cp.b_r, 0); //0 for skin and extand
} else if (skinprot < 0.f) {
Color::SkinSatCbdl2(LL100, modhue, modchro, skinprotneg, scale, false, cp.b_l, cp.t_l, cp.t_r, cp.b_r, 0);
scale = (scale == 1.f) ? factorHard : 1.f;
}
}
const float alphaC = (1024.f + 15.f * cpMul * cpChrom * betaab * scale / 50.f) / 1024.f ;
WavCoeffs_ab[dir][i] *= alphaC;
}
}
//Curve chro
float cpMulC = cp.mulC[level];
// if ( (cp.curv || cp.CHSLmet==1) && cp.CHmet!=2 && level < 9 && cpMulC != 0.f) { // cpMulC == 0.f means all will be multiplied by 1.f, so we can skip
if (cp.CHmet != 2 && level < 9 && cpMulC != 0.f && cp.chromena) { // cpMulC == 0.f means all will be multiplied by 1.f, so we can skip
const float skinprot = params->wavelet.skinprotect;
const float skinprotneg = -skinprot;
const float factorHard = (1.f - skinprotneg / 100.f);
bool useSkinControl = (skinprot != 0.f);
float mea[10];
float effect = cp.sigmacol;
float betaab;
float offs = 1.f;
calceffect(level, meanab, sigmaab, mea, effect, offs);
for (int i = 0; i < W_ab * H_ab; i++) {
float WavCab = std::fabs(WavCoeffs_ab[dir][i]);
if (WavCab < mea[0]) {
betaab = 0.05f;
} else if (WavCab < mea[1]) {
betaab = 0.2f;
} else if (WavCab < mea[2]) {
betaab = 0.7f;
} else if (WavCab < mea[3]) {
betaab = 1.f; //standard
} else if (WavCab < mea[4]) {
betaab = 1.f;
} else if (WavCab < mea[5]) {
betaab = 0.8f; //+sigma
} else if (WavCab < mea[6]) {
betaab = 0.6f;
} else if (WavCab < mea[7]) {
betaab = 0.4f;
} else if (WavCab < mea[8]) {
betaab = 0.2f; // + 2 sigma
} else if (WavCab < mea[9]) {
betaab = 0.1f;
} else {
betaab = 0.0f;
}
int ii = i / W_ab;
int jj = i - ii * W_ab;
//WL and W_ab are identical
float scale = 1.f;
float modchro = varchrom[ii * 2][jj * 2];
if (useSkinControl) {
// hue chroma skin with initial lab data
float LL100 = labco->L[ii * 2][jj * 2] / 327.68f;
float modhue = varhue[ii][jj];
if (skinprot > 0.f) {
Color::SkinSatCbdl2(LL100, modhue, modchro, skinprot, scale, true, cp.b_l, cp.t_l, cp.t_r, cp.b_r, 1); //1 for curve
} else if (skinprot < 0.f) {
Color::SkinSatCbdl2(LL100, modhue, modchro, skinprotneg, scale, false, cp.b_l, cp.t_l, cp.t_r, cp.b_r, 1);
scale = (scale == 1.f) ? factorHard : 1.f;
}
}
float beta = (1024.f + 20.f * cpMulC * scale * betaab) / 1024.f ;
if (beta < 0.02f) {
beta = 0.02f;
}
float kClev = beta;
if (cp.CHmet == 1) {
if (level < cp.chrom) {
//linear for saturated
if ((modchro > cp.t_lsat && modchro < cp.t_rsat)) {
kClev = beta;
} else if ((modchro > cp.b_lsat && modchro <= cp.t_lsat)) {
float aaal = (1.f - beta) / (cp.b_lsat - cp.t_lsat);
float bbal = 1.f - aaal * cp.b_lsat;
kClev = aaal * modchro + bbal;
} else if ((modchro > cp.t_rsat && modchro <= cp.b_rsat)) {
float aaar = (beta - 1.f) / (cp.t_rsat - cp.b_rsat);
float bbbr = 1.f - cp.b_rsat * aaar;
kClev = aaar * modchro + bbbr;
} else {
kClev = 1.f;
}
} else {
//linear for pastel
if ((modchro > cp.t_lpast && modchro < cp.t_rpast)) {
kClev = beta;
} else if ((modchro > cp.b_lpast && modchro <= cp.t_lpast)) {
float aaalS = (1.f - beta) / (cp.b_lpast - cp.t_lpast);
float bbalS = 1.f - aaalS * cp.b_lpast;
kClev = aaalS * modchro + bbalS;
} else if ((modchro > cp.t_rpast && modchro <= cp.b_rpast)) {
float aaarS = (beta - 1.f) / (cp.t_rpast - cp.b_rpast);
float bbbrS = 1.f - cp.b_rpast * aaarS;
kClev = aaarS * modchro + bbbrS;
} else {
kClev = 1.f;
}
}
} else if (cp.CHmet == 0) {
kClev = beta;
}
WavCoeffs_ab[dir][i] *= kClev;
}
}
bool useOpacity;
float mulOpacity = 0.f;
if (useChannelA) {
useOpacity = cp.opaRG;
if (level < 9) {
mulOpacity = cp.mulopaRG[level];
}
} else {
useOpacity = cp.opaBY;
if (level < 9) {
mulOpacity = cp.mulopaBY[level];
}
}
if ((useOpacity && level < 9 && mulOpacity != 0.f) && cp.toningena) { //toning
// if (settings->verbose) {
// printf("Toning enabled\n");
// }
float mea[10];
float effect = cp.sigmaton;
float betaab;
float offs = 1.f;
float protec = 0.01f * (100.f - cp.protab);
float aref1 = cp.a_high;
float bref1 = cp.b_high;
float aref2 = cp.a_low;
float bref2 = cp.b_low;
float kk = 100.f;
float arefplus1 = aref1 + cp.rangeab * kk;
float arefmoins1 = aref1 - cp.rangeab * kk;
float brefplus1 = bref1 + cp.rangeab * kk;
float brefmoins1 = bref1 - cp.rangeab * kk;
float arefplus2 = aref2 + cp.rangeab * kk;
float arefmoins2 = aref2 - cp.rangeab * kk;
float brefplus2 = bref2 + cp.rangeab * kk;
float brefmoins2 = bref2 - cp.rangeab * kk;
calceffect(level, meanab, sigmaab, mea, effect, offs);
for (int co = 0; co < W_ab * H_ab; co++) {
float WavCab = std::fabs(WavCoeffs_ab[dir][co]);
if (WavCab < mea[0]) {
betaab = 0.05f;
} else if (WavCab < mea[1]) {
betaab = 0.2f;
} else if (WavCab < mea[2]) {
betaab = 0.7f;
} else if (WavCab < mea[3]) {
betaab = 1.f; //standard
} else if (WavCab < mea[4]) {
betaab = 1.f;
} else if (WavCab < mea[5]) {
betaab = 0.8f; //+sigma
} else if (WavCab < mea[6]) {
betaab = 0.6f;
} else if (WavCab < mea[7]) {
betaab = 0.4f;
} else if (WavCab < mea[8]) {
betaab = 0.2f; // + 2 sigma
} else if (WavCab < mea[9]) {
betaab = 0.1f;
} else {
betaab = 0.0f;
}
float kreduc1 = 1.f;
float kreduc2 = 1.f;
int ii = co / W_ab;
int jj = co - ii * W_ab;
// cp.protab = 0.f;// always disabled provisory...
if (cp.protab > 0.f) {
if (useChannelA) {
if ((labco->a[ii * 2][jj * 2] > arefmoins1) && (labco->a[ii * 2][jj * 2] < arefplus1)) {
kreduc1 = 0.5f * protec;
if ((labco->a[ii * 2][jj * 2] > 0.8f * arefmoins1) && (labco->a[ii * 2][jj * 2] < 0.8f * arefplus1)) {
kreduc1 = protec;
}
}
} else {
if ((labco->b[ii * 2][jj * 2] > brefmoins1) && (labco->b[ii * 2][jj * 2] < brefplus1)) {
kreduc1 = 0.5f * protec;
if ((labco->b[ii * 2][jj * 2] > 0.8f * brefmoins1) && (labco->b[ii * 2][jj * 2] < 0.8f * brefplus1)) {
kreduc1 = protec;
}
}
}
if (useChannelA) {
if ((labco->a[ii * 2][jj * 2] > arefmoins2) && (labco->a[ii * 2][jj * 2] < arefplus2)) {
kreduc2 = 0.5f * protec;
if ((labco->a[ii * 2][jj * 2] > 0.8f * arefmoins2) && (labco->a[ii * 2][jj * 2] < 0.8f * arefplus2)) {
kreduc2 = protec;
}
}
} else {
if ((labco->b[ii * 2][jj * 2] > brefmoins2) && (labco->b[ii * 2][jj * 2] < brefplus2)) {
kreduc2 = 0.5f * protec;
if ((labco->b[ii * 2][jj * 2] > brefmoins2) && (labco->b[ii * 2][jj * 2] < brefplus2)) {
kreduc2 = protec;
}
}
}
}
// printf("pa1=%f pa2=%f\n", kreduc1, kredu2);
float beta = (1024.f + 50.f * mulOpacity * betaab * kreduc1 * kreduc2) / 1024.f ;
WavCoeffs_ab[dir][co] *= beta;
}
}
if (waOpacityCurveW) {
cp.opaW = true;
}
if (cp.bam && cp.diag) {
if (cp.opaW && cp.BAmet == 2) {
int iteration = cp.ite;
int itplus = 7 + iteration;
int itmoins = 7 - iteration;
int med = maxlvl / 2;
int it;
if (level < med) {
it = itmoins;
} else if (level == med) {
it = 7;
} else { /*if (level > med)*/
it = itplus;
}
for (int j = 0; j < it; j++) {
//float bal = cp.balan;//-100 +100
float kba = 1.f;
// if (dir <3) kba= 1.f + bal/600.f;
// if (dir==3) kba = 1.f - bal/300.f;
for (int i = 0; i < W_ab * H_ab; i++) {
int ii = i / W_ab;
int jj = i - ii * W_ab;
float LL100 = labco->L[ii * 2][jj * 2] / 327.68f;
float k1 = 0.3f * (waOpacityCurveW[6.f * LL100] - 0.5f); //k1 between 0 and 0.5 0.5==> 1/6=0.16
float k2 = k1 * 2.f;
if (dir < 3) {
kba = 1.f + k1;
}
if (dir == 3) {
kba = 1.f - k2;
}
WavCoeffs_ab[dir][i] *= (kba);
}
}
}
if (cp.BAmet == 1) {
int iteration = cp.ite;
int itplus = 7 + iteration;
int itmoins = 7 - iteration;
int med = maxlvl / 2;
int it;
if (level < med) {
it = itmoins;
} else if (level == med) {
it = 7;
} else { /*if (level > med)*/
it = itplus;
}
for (int j = 0; j < it; j++) {
float bal = cp.balan;//-100 +100
float kba = 1.f;
// if (dir <3) kba= 1.f + bal/600.f;
// if (dir==3) kba = 1.f - bal/300.f;
for (int i = 0; i < W_ab * H_ab; i++) {
int ii = i / W_ab;
int jj = i - ii * W_ab;
float k1 = 600.f;
float k2 = 300.f;
float LL100 = labco->L[ii * 2][jj * 2] / 327.68f;
constexpr float aa = 4970.f;
constexpr float bb = -397000.f;
constexpr float b0 = 100000.f;
constexpr float a0 = -4970.f;
if (LL100 > 80.f) {
k1 = aa * LL100 + bb;
k2 = 0.5f * k1;
}
if (LL100 < 20.f) {
k1 = a0 * LL100 + b0;
k2 = 0.5f * k1;
}
//k1=600.f;
//k2=300.f;
//k1=0.3f*(waOpacityCurveW[6.f*LL100]-0.5f);//k1 between 0 and 0.5 0.5==> 1/6=0.16
//k2=k1*2.f;
if (dir < 3) {
kba = 1.f + bal / k1;
}
if (dir == 3) {
kba = 1.f - bal / k2;
}
WavCoeffs_ab[dir][i] *= (kba);
}
}
}
}
// to see each level of wavelet ...level from 0 to 8
int choicelevel = params->wavelet.Lmethod - 1;
choicelevel = choicelevel == -1 ? 4 : choicelevel;
int choiceClevel = 0;
if (params->wavelet.CLmethod == "one") {
choiceClevel = 0;
} else if (params->wavelet.CLmethod == "inf") {
choiceClevel = 1;
} else if (params->wavelet.CLmethod == "sup") {
choiceClevel = 2;
} else if (params->wavelet.CLmethod == "all") {
choiceClevel = 3;
}
int choiceDir = 0;
if (params->wavelet.Dirmethod == "one") {
choiceDir = 1;
} else if (params->wavelet.Dirmethod == "two") {
choiceDir = 2;
} else if (params->wavelet.Dirmethod == "thr") {
choiceDir = 3;
} else if (params->wavelet.Dirmethod == "all") {
choiceDir = 0;
}
int dir1 = (choiceDir == 2) ? 1 : 2;
int dir2 = (choiceDir == 3) ? 1 : 3;
if (choiceClevel < 3) { // not all levels visible, paint residual
if (level == 0) {
if (cp.backm != 2) { // nothing to change when residual is used as background
for (int i = 0; i < W_ab * H_ab; i++) {
WavCoeffs_ab0[i] = 0.f;
}
}
}
}
if (choiceClevel == 0) { // Only one level
if (choiceDir == 0) { // All directions
if (level != choicelevel) { // zero all for the levels != choicelevel
for (int d = 1; d < 4; d++) {
for (int i = 0; i < W_ab * H_ab; i++) {
WavCoeffs_ab[d][i] = 0.f;
}
}
}
} else { // zero the unwanted directions for level == choicelevel
if (choicelevel >= cp.maxilev) {
for (int d = 1; d < 4; d++) {
for (int i = 0; i < W_ab * H_ab; i++) {
WavCoeffs_ab[d][i] = 0.f;
}
}
} else if (level != choicelevel) { // zero all for the levels != choicelevel
for (int i = 0; i < W_ab * H_ab; i++) {
WavCoeffs_ab[dir1][i] = WavCoeffs_ab[dir2][i] = 0.f;
}
}
}
} else if (choiceClevel == 1) { // Only below level
if (choiceDir == 0) { // All directions
if (level > choicelevel) {
for (int d = 1; d < 4; d++) {
for (int i = 0; i < W_ab * H_ab; i++) {
WavCoeffs_ab[d][i] = 0.f;
}
}
}
} else { // zero the unwanted directions for level >= choicelevel
if (level > choicelevel) {
for (int i = 0; i < W_ab * H_ab; i++) {
WavCoeffs_ab[dir1][i] = WavCoeffs_ab[dir2][i] = 0.f;
}
}
}
} else if (choiceClevel == 2) { // Only above level
if (choiceDir == 0) { // All directions
if (level <= choicelevel) {
for (int d = 1; d < 4; d++) {
for (int i = 0; i < W_ab * H_ab; i++) {
WavCoeffs_ab[d][i] = 0.f;
}
}
}
} else { // zero the unwanted directions for level >= choicelevel
if (choicelevel >= cp.maxilev) {
for (int d = 1; d < 4; d++) {
for (int i = 0; i < W_ab * H_ab; i++) {
WavCoeffs_ab[d][i] = 0.f;
}
}
} else if (level <= choicelevel) {
for (int i = 0; i < W_ab * H_ab; i++) {
WavCoeffs_ab[dir1][i] = WavCoeffs_ab[dir2][i] = 0.f;
}
}
}
}
}
}
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