diff --git a/modules/photo/src/seamless_cloning.hpp b/modules/photo/src/seamless_cloning.hpp index f500ba15ba..84e59b1a1d 100644 --- a/modules/photo/src/seamless_cloning.hpp +++ b/modules/photo/src/seamless_cloning.hpp @@ -39,551 +39,48 @@ // //M*/ +#ifndef CV_SEAMLESS_CLONING_HPP___ +#define CV_SEAMLESS_CLONING_HPP___ + #include "precomp.hpp" #include "opencv2/photo.hpp" -#include -#include -#include -#include "math.h" - -using namespace std; -using namespace cv; - -class Cloning -{ - public: - void normal_clone(const Mat &I, const Mat &mask, const Mat &wmask, Mat &cloned, int num); - void illum_change(Mat &I, Mat &mask, Mat &wmask, Mat &cloned, float alpha, float beta); - void local_color_change(Mat &I, Mat &mask, Mat &wmask, Mat &cloned, float red_mul, float green_mul, float blue_mul); - void texture_flatten(Mat &I, Mat &mask, Mat &wmask, double low_threshold, double high_threhold, int kernel_size, Mat &cloned); - - protected: - - vector rgb_channel, rgbx_channel, rgby_channel, output; - Mat grx, gry, sgx, sgy, srx32, sry32, grx32, gry32, smask, smask1; - void init_var(const Mat &I, const Mat &wmask); - void initialization(const Mat &I, const Mat &mask, const Mat &wmask); - void scalar_product(Mat mat, float r, float g, float b); - void array_product(Mat mat1, Mat mat2, Mat mat3); - void poisson(const Mat &I, const Mat &gx, const Mat &gy, const Mat &sx, const Mat &sy); - void evaluate(const Mat &I, const Mat &wmask, const Mat &cloned); - void getGradientx(const Mat &img, Mat &gx); - void getGradienty(const Mat &img, Mat &gy); - void lapx(const Mat &img, Mat &gxx); - void lapy(const Mat &img, Mat &gyy); - void dst(double *mod_diff, double *sineTransform,int h,int w); - void idst(double *mod_diff, double *sineTransform,int h,int w); - void transpose(double *mat, double *mat_t,int h,int w); - void solve(const Mat &img, double *mod_diff, Mat &result); - void poisson_solver(const Mat &img, Mat &gxx , Mat &gyy, Mat &result); - - - - -}; - -void Cloning::getGradientx( 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::getGradienty( 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::lapx( 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::lapy( 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 -void Cloning::transpose(double *mat, double *mat_t,int h,int w) +namespace cv { - Mat tmp = Mat(h,w,CV_32FC1); - unsigned long int idx; - for(int i = 0 ; i < h;i++) - { - for(int j = 0 ; j < w; j++) - { - - idx = i*(w) + j; - tmp.at(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++) + class Cloning { - 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::initialization(const Mat &I, const Mat &mask, const Mat &wmask) -{ - init_var(I,wmask); - - getGradientx(I,grx); - getGradienty(I,gry); - - getGradientx(mask,sgx); - getGradienty(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); - - lapx(fx,gxx); - lapy(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 &I, const Mat &mask, const Mat &wmask, Mat &cloned, int num) -{ - int w = I.size().width; - int h = I.size().height; - int channel = I.channels(); - - - initialization(I,mask,wmask); - - if(num == 1) - { - array_product(srx32,sgx,smask); - array_product(sry32,sgy,smask); - - } - else if(num == 2) - { - - 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); - } - } - } - } - - } - else if(num == 3) - { - Mat gray = Mat(mask.size(),CV_8UC1); - Mat gray8 = Mat(mask.size(),CV_8UC3); - cvtColor(mask, gray, COLOR_BGR2GRAY ); - vector temp; - split(I,temp); - gray.copyTo(temp[2]); - gray.copyTo(temp[1]); - gray.copyTo(temp[0]); - - merge(temp,gray8); - - getGradientx(gray8,sgx); - getGradienty(gray8,sgy); - - array_product(srx32,sgx,smask); - array_product(sry32,sgy,smask); - - } - - evaluate(I,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) -{ - initialization(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) -{ - initialization(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); - patchNaNs(srx32); - - multiply(sry32,pow(alpha,beta),multY); - pow(mag,-1*beta, multy_temp); - multiply(multY,multy_temp,sry32); - patchNaNs(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) -{ - initialization(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); -} + public: + void normal_clone(const cv::Mat &I, const cv::Mat &mask, const cv::Mat &wmask, cv::Mat &cloned, int num); + void illum_change(cv::Mat &I, cv::Mat &mask, cv::Mat &wmask, cv::Mat &cloned, float alpha, float beta); + void local_color_change(cv::Mat &I, cv::Mat &mask, cv::Mat &wmask, cv::Mat &cloned, float red_mul, float green_mul, float blue_mul); + void texture_flatten(cv::Mat &I, cv::Mat &mask, cv::Mat &wmask, double low_threshold, double high_threhold, int kernel_size, cv::Mat &cloned); + + protected: + + void init_var(const cv::Mat &I, const cv::Mat &wmask); + void initialization(const cv::Mat &I, const cv::Mat &mask, const cv::Mat &wmask); + void scalar_product(cv::Mat mat, float r, float g, float b); + void array_product(cv::Mat mat1, cv::Mat mat2, cv::Mat mat3); + void poisson(const cv::Mat &I, const cv::Mat &gx, const cv::Mat &gy, const cv::Mat &sx, const cv::Mat &sy); + void evaluate(const cv::Mat &I, const cv::Mat &wmask, const cv::Mat &cloned); + void getGradientx(const cv::Mat &img, cv::Mat &gx); + void getGradienty(const cv::Mat &img, cv::Mat &gy); + void lapx(const cv::Mat &img, cv::Mat &gxx); + void lapy(const cv::Mat &img, cv::Mat &gyy); + void dst(double *mod_diff, double *sineTransform,int h,int w); + void idst(double *mod_diff, double *sineTransform,int h,int w); + void transpose(double *mat, double *mat_t,int h,int w); + void solve(const cv::Mat &img, double *mod_diff, cv::Mat &result); + void poisson_solver(const cv::Mat &img, cv::Mat &gxx , cv::Mat &gyy, cv::Mat &result); + + + private: + std::vector rgb_channel, rgbx_channel, rgby_channel, output; + cv::Mat grx, gry, sgx, sgy, srx32, sry32, grx32, gry32, smask, smask1; + + }; +} +#endif \ No newline at end of file diff --git a/modules/photo/src/seamless_cloning_impl.cpp b/modules/photo/src/seamless_cloning_impl.cpp new file mode 100644 index 0000000000..41d4748b9b --- /dev/null +++ b/modules/photo/src/seamless_cloning_impl.cpp @@ -0,0 +1,552 @@ +/*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::getGradientx( 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::getGradienty( 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::lapx( 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::lapy( 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::initialization(const Mat &I, const Mat &mask, const Mat &wmask) +{ + init_var(I,wmask); + + getGradientx(I,grx); + getGradienty(I,gry); + + getGradientx(mask,sgx); + getGradienty(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); + + lapx(fx,gxx); + lapy(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 &I, const Mat &mask, const Mat &wmask, Mat &cloned, int num) +{ + int w = I.size().width; + int h = I.size().height; + int channel = I.channels(); + + + initialization(I,mask,wmask); + + if(num == 1) + { + array_product(srx32,sgx,smask); + array_product(sry32,sgy,smask); + + } + else if(num == 2) + { + + 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); + } + } + } + } + + } + else if(num == 3) + { + Mat gray = Mat(mask.size(),CV_8UC1); + Mat gray8 = Mat(mask.size(),CV_8UC3); + cvtColor(mask, gray, COLOR_BGR2GRAY ); + vector temp; + split(I,temp); + gray.copyTo(temp[2]); + gray.copyTo(temp[1]); + gray.copyTo(temp[0]); + + merge(temp,gray8); + + getGradientx(gray8,sgx); + getGradienty(gray8,sgy); + + array_product(srx32,sgx,smask); + array_product(sry32,sgy,smask); + + } + + evaluate(I,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) +{ + initialization(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) +{ + initialization(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) +{ + initialization(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); +}