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175 lines
5.5 KiB
C++
175 lines
5.5 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp"
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#include "opencv2/photo.hpp"
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#include <cmath>
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#include <vector>
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#include <limits>
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#include "contrast_preserve.hpp"
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using namespace std;
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using namespace cv;
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void cv::decolor(InputArray _src, OutputArray _dst, OutputArray _color_boost)
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{
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CV_INSTRUMENT_REGION();
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Mat I = _src.getMat();
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_dst.create(I.size(), CV_8UC1);
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Mat dst = _dst.getMat();
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_color_boost.create(I.size(), CV_8UC3);
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Mat color_boost = _color_boost.getMat();
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CV_Assert(!I.empty() && (I.channels()==3));
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// Parameter Setting
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const int maxIter = 15;
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const double tol = .0001;
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int iterCount = 0;
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double E = 0;
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double pre_E = std::numeric_limits<double>::infinity();
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Mat img;
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I.convertTo(img, CV_32FC3, 1.0/255.0);
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// Initialization
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Decolor obj;
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vector <double> Cg;
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vector < vector <double> > polyGrad;
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vector <Vec3i> comb;
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vector <double> alf;
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obj.grad_system(img,polyGrad,Cg,comb);
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obj.weak_order(img,alf);
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// Solver
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Mat Mt = Mat(int(polyGrad.size()),int(polyGrad[0].size()), CV_32FC1);
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obj.wei_update_matrix(polyGrad,Cg,Mt);
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vector <double> wei;
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obj.wei_inti(comb,wei);
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//////////////////////////////// main loop starting ////////////////////////////////////////
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vector <double> G_pos(alf.size());
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vector <double> G_neg(alf.size());
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vector <double> EXPsum(G_pos.size());
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vector <double> EXPterm(G_pos.size());
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vector <double> temp(polyGrad[0].size());
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vector <double> temp1(polyGrad[0].size());
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vector <double> temp2(EXPsum.size());
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vector <double> wei1(polyGrad.size());
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while(sqrt(pow(E-pre_E,2)) > tol)
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{
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iterCount +=1;
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pre_E = E;
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for(size_t i=0; i<polyGrad[0].size(); i++)
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{
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double val = 0.0;
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for(size_t j=0; j<polyGrad.size(); j++)
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val = val + (polyGrad[j][i] * wei[j]);
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temp[i] = val - Cg[i];
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temp1[i] = val + Cg[i];
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}
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for(size_t i=0; i<alf.size(); i++)
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{
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const double sqSigma = obj.sigma * obj.sigma;
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const double pos = ((1 + alf[i])/2) * exp(-1.0 * 0.5 * (temp[i] * temp[i]) / sqSigma);
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const double neg = ((1 - alf[i])/2) * exp(-1.0 * 0.5 * (temp1[i] * temp1[i]) / sqSigma);
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G_pos[i] = pos;
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G_neg[i] = neg;
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}
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for(size_t i=0; i<G_pos.size(); i++)
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EXPsum[i] = G_pos[i]+G_neg[i];
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for(size_t i=0; i<EXPsum.size(); i++)
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temp2[i] = (EXPsum[i] == 0) ? 1.0 : 0.0;
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for(size_t i=0; i<G_pos.size(); i++)
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EXPterm[i] = (G_pos[i] - G_neg[i])/(EXPsum[i] + temp2[i]);
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for(int i=0; i<int(polyGrad.size()); i++)
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{
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double val1 = 0.0;
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for(int j=0; j<int(polyGrad[0].size()); j++)
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{
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val1 = val1 + (Mt.at<float>(i,j) * EXPterm[j]);
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}
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wei1[i] = val1;
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}
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for(size_t i=0; i<wei.size(); i++)
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wei[i] = wei1[i];
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E = obj.energyCalcu(Cg, polyGrad, wei);
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if(iterCount > maxIter)
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break;
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}
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Mat Gray = Mat::zeros(img.size(),CV_32FC1);
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obj.grayImContruct(wei, img, Gray);
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Gray.convertTo(dst,CV_8UC1,255);
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/////////////////////////////////// Contrast Boosting /////////////////////////////////
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Mat lab;
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cvtColor(I,lab,COLOR_BGR2Lab);
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vector <Mat> lab_channel;
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split(lab,lab_channel);
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dst.copyTo(lab_channel[0]);
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merge(lab_channel,lab);
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cvtColor(lab,color_boost,COLOR_Lab2BGR);
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}
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