/*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 "seamless_cloning.hpp" #include using namespace cv; using namespace std; void Cloning::computeGradientX( const Mat &img, Mat &gx) { Mat kernel = Mat::zeros(1, 3, CV_8S); kernel.at(0,2) = 1; kernel.at(0,1) = -1; filter2D(img, gx, CV_32F, kernel); } void Cloning::computeGradientY( const Mat &img, Mat &gy) { Mat kernel = Mat::zeros(3, 1, CV_8S); kernel.at(2,0) = 1; kernel.at(1,0) = -1; filter2D(img, gy, CV_32F, kernel); } void Cloning::computeLaplacianX( const Mat &img, Mat &gxx) { Mat kernel = Mat::zeros(1, 3, CV_8S); kernel.at(0,0) = -1; kernel.at(0,1) = 1; filter2D(img, gxx, CV_32F, kernel); } void Cloning::computeLaplacianY( const Mat &img, Mat &gyy) { Mat kernel = Mat::zeros(3, 1, CV_8S); kernel.at(0,0) = -1; kernel.at(1,0) = 1; filter2D(img, gyy, CV_32F, kernel); } void Cloning::dst(double *mod_diff, double *sineTransform,int h,int w) { unsigned long int idx; Mat temp = Mat(2*h+2,1,CV_32F); Mat res = Mat(h,1,CV_32F); Mat planes[] = {Mat_(temp), Mat::zeros(temp.size(), CV_32F)}; Mat result; int p=0; for(int i=0;i(0,0) = 0.0; for(int j=0,r=1;j(r,0) = (float) mod_diff[idx]; } temp.at(h+1,0)=0.0; for(int j=h-1, r=h+2;j>=0;j--,r++) { idx = j*w+i; temp.at(r,0) = (float) (-1.0 * mod_diff[idx]); } merge(planes, 2, result); dft(result,result,0,0); Mat planes1[] = {Mat::zeros(result.size(), CV_32F), Mat::zeros(result.size(), CV_32F)}; split(result, planes1); std::complex two_i = std::sqrt(std::complex(-1)); double factor = -2*imag(two_i); for(int c=1,z=0;c(z,0) = (float) (planes1[1].at(c,0)/factor); } for(int q=0,z=0;q(z,0); } p++; } } void Cloning::idst(double *mod_diff, double *sineTransform,int h,int w) { int nn = h+1; unsigned long int idx; dst(mod_diff,sineTransform,h,w); for(int i= 0;i(i,j) = (float) mat[idx]; } } Mat tmp_t = tmp.t(); for(int i = 0;i < tmp_t.size().height; i++) for(int j=0;j(i,j); } } void Cloning::solve(const Mat &img, double *mod_diff, Mat &result) { int w = img.size().width; int h = img.size().height; unsigned long int idx,idx1; double *sineTransform = new double[(h-2)*(w-2)]; double *sineTransform_t = new double[(h-2)*(w-2)]; double *denom = new double[(h-2)*(w-2)]; double *invsineTransform = new double[(h-2)*(w-2)]; double *invsineTransform_t = new double[(h-2)*(w-2)]; double *img_d = new double[(h)*(w)]; dst(mod_diff,sineTransform,h-2,w-2); transpose(sineTransform,sineTransform_t,h-2,w-2); dst(sineTransform_t,sineTransform,w-2,h-2); transpose(sineTransform,sineTransform_t,w-2,h-2); int cy = 1; for(int i = 0 ; i < w-2;i++,cy++) { for(int j = 0,cx = 1; j < h-2; j++,cx++) { idx = j*(w-2) + i; denom[idx] = (float) 2*cos(CV_PI*cy/( (double) (w-1))) - 2 + 2*cos(CV_PI*cx/((double) (h-1))) - 2; } } for(idx = 0 ; idx < (unsigned)(w-2)*(h-2) ;idx++) { sineTransform_t[idx] = sineTransform_t[idx]/denom[idx]; } idst(sineTransform_t,invsineTransform,h-2,w-2); transpose(invsineTransform,invsineTransform_t,h-2,w-2); idst(invsineTransform_t,invsineTransform,w-2,h-2); transpose(invsineTransform,invsineTransform_t,w-2,h-2); for(int i = 0 ; i < h;i++) { for(int j = 0 ; j < w; j++) { idx = i*w + j; img_d[idx] = (double)img.at(i,j); } } for(int i = 1 ; i < h-1;i++) { for(int j = 1 ; j < w-1; j++) { idx = i*w + j; img_d[idx] = 0.0; } } for(int i = 1,id1=0 ; i < h-1;i++,id1++) { for(int j = 1,id2=0 ; j < w-1; j++,id2++) { idx = i*w + j; idx1= id1*(w-2) + id2; img_d[idx] = invsineTransform_t[idx1]; } } for(int i = 0 ; i < h;i++) { for(int j = 0 ; j < w; j++) { idx = i*w + j; if(img_d[idx] < 0.0) result.at(i,j) = 0; else if(img_d[idx] > 255.0) result.at(i,j) = 255; else result.at(i,j) = (uchar) img_d[idx]; } } delete [] sineTransform; delete [] sineTransform_t; delete [] denom; delete [] invsineTransform; delete [] invsineTransform_t; delete [] img_d; } void Cloning::poisson_solver(const Mat &img, Mat &gxx , Mat &gyy, Mat &result) { int w = img.size().width; int h = img.size().height; unsigned long int idx; Mat lap = Mat(img.size(),CV_32FC1); lap = gxx + gyy; Mat bound = img.clone(); rectangle(bound, Point(1, 1), Point(img.cols-2, img.rows-2), Scalar::all(0), -1); double *boundary_point = new double[h*w]; for(int i =1;i(i,j) + (int)bound.at(i,(j+1)) + (int)bound.at(i,(j-1)) + (int)bound.at(i-1,j) + (int)bound.at(i+1,j); } Mat diff = Mat(h,w,CV_32FC1); for(int i =0;i(i,j) = (float) (lap.at(i,j) - boundary_point[idx]); } } double *mod_diff = new double[(h-2)*(w-2)]; for(int i = 0 ; i < h-2;i++) { for(int j = 0 ; j < w-2; j++) { idx = i*(w-2) + j; mod_diff[idx] = diff.at(i+1,j+1); } } ///////////////////////////////////////////////////// Find DST ///////////////////////////////////////////////////// solve(img,mod_diff,result); delete [] mod_diff; delete [] boundary_point; } void Cloning::init_var(const Mat &I, const Mat &wmask) { grx = Mat(I.size(),CV_32FC3); gry = Mat(I.size(),CV_32FC3); sgx = Mat(I.size(),CV_32FC3); sgy = Mat(I.size(),CV_32FC3); split(I,rgb_channel); smask = Mat(wmask.size(),CV_32FC1); srx32 = Mat(I.size(),CV_32FC3); sry32 = Mat(I.size(),CV_32FC3); smask1 = Mat(wmask.size(),CV_32FC1); grx32 = Mat(I.size(),CV_32FC3); gry32 = Mat(I.size(),CV_32FC3); } void Cloning::compute_derivatives(const Mat &I, const Mat &mask, const Mat &wmask) { init_var(I,wmask); computeGradientX(I,grx); computeGradientY(I,gry); computeGradientX(mask,sgx); computeGradientY(mask,sgy); Mat Kernel(Size(3, 3), CV_8UC1); Kernel.setTo(Scalar(1)); erode(wmask, wmask, Kernel, Point(-1,-1), 3); wmask.convertTo(smask,CV_32FC1,1.0/255.0); I.convertTo(srx32,CV_32FC3,1.0/255.0); I.convertTo(sry32,CV_32FC3,1.0/255.0); } void Cloning::scalar_product(Mat mat, float r, float g, float b) { vector channels; split(mat,channels); multiply(channels[2],r,channels[2]); multiply(channels[1],g,channels[1]); multiply(channels[0],b,channels[0]); merge(channels,mat); } void Cloning::array_product(Mat mat1, Mat mat2, Mat mat3) { vector channels_temp1; vector channels_temp2; split(mat1,channels_temp1); split(mat2,channels_temp2); multiply(channels_temp2[2],mat3,channels_temp1[2]); multiply(channels_temp2[1],mat3,channels_temp1[1]); multiply(channels_temp2[0],mat3,channels_temp1[0]); merge(channels_temp1,mat1); } void Cloning::poisson(const Mat &I, const Mat &gx, const Mat &gy, const Mat &sx, const Mat &sy) { Mat fx = Mat(I.size(),CV_32FC3); Mat fy = Mat(I.size(),CV_32FC3); fx = gx + sx; fy = gy + sy; Mat gxx = Mat(I.size(),CV_32FC3); Mat gyy = Mat(I.size(),CV_32FC3); computeLaplacianX(fx,gxx); computeLaplacianY(fy,gyy); split(gxx,rgbx_channel); split(gyy,rgby_channel); split(I,output); poisson_solver(rgb_channel[2],rgbx_channel[2], rgby_channel[2],output[2]); poisson_solver(rgb_channel[1],rgbx_channel[1], rgby_channel[1],output[1]); poisson_solver(rgb_channel[0],rgbx_channel[0], rgby_channel[0],output[0]); } void Cloning::evaluate(const Mat &I, const Mat &wmask, const Mat &cloned) { bitwise_not(wmask,wmask); wmask.convertTo(smask1,CV_32FC1,1.0/255.0); I.convertTo(grx32,CV_32FC3,1.0/255.0); I.convertTo(gry32,CV_32FC3,1.0/255.0); array_product(grx32,grx,smask1); array_product(gry32,gry,smask1); poisson(I,grx32,gry32,srx32,sry32); merge(output,cloned); } void Cloning::normal_clone(const Mat &destination, const Mat &mask, const Mat &wmask, Mat &cloned, int flag) { int w = destination.size().width; int h = destination.size().height; int channel = destination.channels(); compute_derivatives(destination,mask,wmask); switch(flag) { case NORMAL_CLONE: array_product(srx32,sgx,smask); array_product(sry32,sgy,smask); break; case MIXED_CLONE: for(int i=0;i < h; i++) { for(int j=0; j < w; j++) { for(int c=0;c(i,j*channel+c) - sgy.at(i,j*channel+c)) > abs(grx.at(i,j*channel+c) - gry.at(i,j*channel+c))) { srx32.at(i,j*channel+c) = sgx.at(i,j*channel+c) * smask.at(i,j); sry32.at(i,j*channel+c) = sgy.at(i,j*channel+c) * smask.at(i,j); } else { srx32.at(i,j*channel+c) = grx.at(i,j*channel+c) * smask.at(i,j); sry32.at(i,j*channel+c) = gry.at(i,j*channel+c) * smask.at(i,j); } } } } break; case MONOCHROME_TRANSFER: Mat gray = Mat(mask.size(),CV_8UC1); Mat gray8 = Mat(mask.size(),CV_8UC3); cvtColor(mask, gray, COLOR_BGR2GRAY ); vector temp; split(destination,temp); gray.copyTo(temp[2]); gray.copyTo(temp[1]); gray.copyTo(temp[0]); merge(temp,gray8); computeGradientX(gray8,sgx); computeGradientY(gray8,sgy); array_product(srx32,sgx,smask); array_product(sry32,sgy,smask); break; } evaluate(destination,wmask,cloned); } void Cloning::local_color_change(Mat &I, Mat &mask, Mat &wmask, Mat &cloned, float red_mul=1.0, float green_mul=1.0, float blue_mul=1.0) { compute_derivatives(I,mask,wmask); array_product(srx32,sgx,smask); array_product(sry32,sgy,smask); scalar_product(srx32,red_mul,green_mul,blue_mul); scalar_product(sry32,red_mul,green_mul,blue_mul); evaluate(I,wmask,cloned); } void Cloning::illum_change(Mat &I, Mat &mask, Mat &wmask, Mat &cloned, float alpha, float beta) { compute_derivatives(I,mask,wmask); array_product(srx32,sgx,smask); array_product(sry32,sgy,smask); Mat mag = Mat(I.size(),CV_32FC3); magnitude(srx32,sry32,mag); Mat multX, multY, multx_temp, multy_temp; multiply(srx32,pow(alpha,beta),multX); pow(mag,-1*beta, multx_temp); multiply(multX,multx_temp,srx32); multiply(sry32,pow(alpha,beta),multY); pow(mag,-1*beta, multy_temp); multiply(multY,multy_temp,sry32); Mat zeroMask = (srx32 != 0); srx32.copyTo(srx32, zeroMask); sry32.copyTo(sry32, zeroMask); evaluate(I,wmask,cloned); } void Cloning::texture_flatten(Mat &I, Mat &mask, Mat &wmask, double low_threshold, double high_threshold, int kernel_size, Mat &cloned) { compute_derivatives(I,mask,wmask); Mat out = Mat(mask.size(),CV_8UC1); Canny(mask,out,low_threshold,high_threshold,kernel_size); Mat zeros(sgx.size(), CV_32FC3); zeros.setTo(0); Mat zerosMask = (out != 255); zeros.copyTo(sgx, zerosMask); zeros.copyTo(sgy, zerosMask); array_product(srx32,sgx,smask); array_product(sry32,sgy,smask); evaluate(I,wmask,cloned); }