/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2013, OpenCV Foundation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "precomp.hpp" #include "opencv2/photo.hpp" #include "math.h" #include <vector> #include <limits> #include "contrast_preserve.hpp" using namespace std; using namespace cv; void cv::decolor(InputArray _src, OutputArray _dst, OutputArray _color_boost) { Mat I = _src.getMat(); _dst.create(I.size(), CV_8UC1); Mat dst = _dst.getMat(); _color_boost.create(I.size(), CV_8UC3); Mat color_boost = _color_boost.getMat(); CV_Assert(!I.empty() && (I.channels()==3)); // Parameter Setting int maxIter = 15; int iterCount = 0; double tol = .0001; double E = 0; double pre_E = std::numeric_limits<double>::infinity(); Decolor obj; Mat img; img = Mat(I.size(),CV_32FC3); I.convertTo(img,CV_32FC3,1.0/255.0); // Initialization obj.init(); vector <double> Cg; vector < vector <double> > polyGrad; vector < vector < int > > comb; vector <double> alf; obj.grad_system(img,polyGrad,Cg,comb); obj.weak_order(img,alf); // Solver Mat Mt = Mat((int)polyGrad.size(),(int)polyGrad[0].size(), CV_32FC1); obj.wei_update_matrix(polyGrad,Cg,Mt); vector <double> wei; obj.wei_inti(comb,wei); //////////////////////////////// main loop starting //////////////////////////////////////// while(sqrt(pow(E-pre_E,2)) > tol) { iterCount +=1; pre_E = E; vector <double> G_pos; vector <double> G_neg; vector <double> temp; vector <double> temp1; double val = 0.0; for(unsigned int i=0;i< polyGrad[0].size();i++) { val = 0.0; for(unsigned int j =0;j<polyGrad.size();j++) val = val + (polyGrad[j][i] * wei[j]); temp.push_back(val - Cg[i]); temp1.push_back(val + Cg[i]); } double pos = 0.0; double neg = 0.0; for(unsigned int i =0;i<alf.size();i++) { pos = ((1 + alf[i])/2) * exp((-1.0 * 0.5 * pow(temp[i],2))/pow(obj.sigma,2)); neg = ((1 - alf[i])/2) * exp((-1.0 * 0.5 * pow(temp1[i],2))/pow(obj.sigma,2)); G_pos.push_back(pos); G_neg.push_back(neg); } vector <double> EXPsum; vector <double> EXPterm; for(unsigned int i = 0;i<G_pos.size();i++) EXPsum.push_back(G_pos[i]+G_neg[i]); vector <double> temp2; for(unsigned int i=0;i<EXPsum.size();i++) { if(EXPsum[i] == 0) temp2.push_back(1.0); else temp2.push_back(0.0); } for(unsigned int i =0; i < G_pos.size();i++) EXPterm.push_back((G_pos[i] - G_neg[i])/(EXPsum[i] + temp2[i])); double val1 = 0.0; vector <double> wei1; for(unsigned int i=0;i< polyGrad.size();i++) { val1 = 0.0; for(unsigned int j =0;j<polyGrad[0].size();j++) { val1 = val1 + (Mt.at<float>(i,j) * EXPterm[j]); } wei1.push_back(val1); } for(unsigned int i =0;i<wei.size();i++) wei[i] = wei1[i]; E = obj.energyCalcu(Cg,polyGrad,wei); if(iterCount > maxIter) break; G_pos.clear(); G_neg.clear(); temp.clear(); temp1.clear(); EXPsum.clear(); EXPterm.clear(); temp2.clear(); wei1.clear(); } Mat Gray = Mat::zeros(img.size(),CV_32FC1); obj.grayImContruct(wei, img, Gray); Gray.convertTo(dst,CV_8UC1,255); /////////////////////////////////// Contrast Boosting ///////////////////////////////// Mat lab = Mat(img.size(),CV_8UC3); Mat color = Mat(img.size(),CV_8UC3); cvtColor(I,lab,COLOR_BGR2Lab); vector <Mat> lab_channel; split(lab,lab_channel); dst.copyTo(lab_channel[0]); merge(lab_channel,lab); cvtColor(lab,color_boost,COLOR_Lab2BGR); }