TP2
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42fef0705b
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@ -1,6 +1,7 @@
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set(EXAMPLES
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set(EXAMPLES
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gaussianFilter
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gaussianFilter
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bilateralFilter
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bilateralFilter
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nonSeparableFilter
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)
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)
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foreach(EXAMPLE ${EXAMPLES})
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foreach(EXAMPLE ${EXAMPLES})
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@ -38,19 +38,71 @@
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#define STB_IMAGE_WRITE_IMPLEMENTATION
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#define STB_IMAGE_WRITE_IMPLEMENTATION
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#include <stb_image_write.h>
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#include <stb_image_write.h>
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#define PX_IDX(nbChannels, width, i, j) (nbChannels*(width*j+i))
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#define MIN(a, b) (a < b ? a : b)
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//Global flag to silent verbose messages
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//Global flag to silent verbose messages
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bool silent;
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bool silent;
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unsigned char* applySeparableFilter(unsigned char* source, int nbChannels, int width, int height, int channel, float* filter_a, float* filter_b, int filter_size) {
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float* source_a[filter_size];
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for (int i=0; i < filter_size; i++) {
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source_a[i] = (float*)malloc(sizeof(unsigned char)*width*height*nbChannels);
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for (int x=0; x < width*height; x++) {
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for (int ch=0; ch < MIN(3, nbChannels); ch++) {
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//source_a[i][] = source[x]*filter_a[i];
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}
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}
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}
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}
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float* normalizationFilter(int filter_size) {
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/* Simple filter:
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1/9 1/9 1/9
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1/9 1/9 1/9
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1/9 1/9 1/9
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*/
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assert(filter_size%2 == 1);
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float* filter = (float*)malloc(sizeof(float)*filter_size*filter_size);
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for (int i=0; i < filter_size*filter_size; i++) { filter[i] = 1/(float)(filter_size*filter_size); };
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return filter;
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}
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float* gaussianFilter(int filter_size, float sigma) {
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/* Gaussian filter */
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assert(filter_size%2 == 1);
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int beg = filter_size/2;
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int ci, cj;
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float* filter = (float*)malloc(sizeof(float)*filter_size*filter_size);
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float sum = 0.;
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for (int i=0; i < filter_size; i++) {
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for (int j=0; j < filter_size; j++) {
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ci = abs(i-beg);
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cj = abs(j-beg);
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filter[i+j*filter_size] = exp(-(ci*ci + cj*cj)/(2.0*sigma*sigma)) / (2.0*M_PI*sigma*sigma);
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sum += filter[i+j*filter_size];
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}
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}
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for (int i=0; i < filter_size*filter_size; i++) {filter[i] = filter[i]/sum;}
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return filter;
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}
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int main(int argc, char **argv)
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int main(int argc, char **argv)
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{
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{
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CLI::App app{"colorTransfer"};
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CLI::App app{"gaussianFilter"};
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std::string sourceImage;
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std::string sourceImage;
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app.add_option("-s,--source", sourceImage, "Source image")->required()->check(CLI::ExistingFile);;
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app.add_option("-s,--source", sourceImage, "Source image")->required()->check(CLI::ExistingFile);;
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std::string outputImage= "output.png";
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std::string outputImage= "output.png";
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app.add_option("-o,--output", outputImage, "Output image")->required();
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app.add_option("-o,--output", outputImage, "Output image")->required();
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double sigma = 3.0;
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double sigma = 3.0;
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app.add_option("--sigma", sigma, "Variance of the Gaussian filter");
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app.add_option("--sigma", sigma, "Variance of the Gaussian filter");
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int filter_size = 3;
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app.add_option("-f,--filter-size", filter_size, "Size of the filter");
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silent = false;
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silent = false;
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app.add_flag("--silent", silent, "No verbose messages");
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app.add_flag("--silent", silent, "No verbose messages");
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CLI11_PARSE(app, argc, argv);
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CLI11_PARSE(app, argc, argv);
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@ -63,20 +115,13 @@ int main(int argc, char **argv)
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//Main computation
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//Main computation
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std::vector<unsigned char> output(width*height*nbChannels);
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std::vector<unsigned char> output(width*height*nbChannels);
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//As an example, we just scan the pixels of the source image
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float* filter = gaussianFilter(filter_size, sigma);
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//and swap the color channels.
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for(auto i = 0 ; i < width ; ++i) {
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for(auto i = 0 ; i < width ; ++i)
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for(auto j = 0; j < height; ++j) {
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{
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auto indexPixel = PX_IDX(nbChannels, width, i, j);
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for(auto j = 0; j < height; ++j)
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for (auto channel=0; channel < 3; channel++) {
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{
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//output[indexPixel+channel] = applyFilter(source, nbChannels, width, height, i, j, channel, filter, filter_size);
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auto indexPixel = nbChannels*(width*j+i);
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}
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unsigned char r = source[ indexPixel ];
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unsigned char g = source[ indexPixel + 1];
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unsigned char b = source[ indexPixel + 2];
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//Swapping the channels
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output[ indexPixel ] = b;
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output[ indexPixel + 1 ] = g;
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output[ indexPixel + 2 ] = r;
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if (nbChannels == 4) //just copying the alpha value if any
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if (nbChannels == 4) //just copying the alpha value if any
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output[ indexPixel + 3] = source[ indexPixel + 3];
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output[ indexPixel + 3] = source[ indexPixel + 3];
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}
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}
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@ -91,6 +136,7 @@ int main(int argc, char **argv)
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exit(errcode);
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exit(errcode);
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}
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}
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free(filter);
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stbi_image_free(source);
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stbi_image_free(source);
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exit(0);
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exit(0);
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}
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}
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143
image-processing/2-BilateralFilter/c++/nonSeparableFilter.cpp
Normal file
143
image-processing/2-BilateralFilter/c++/nonSeparableFilter.cpp
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@ -0,0 +1,143 @@
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/*
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Copyright (c) 2020 CNRS
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are met:
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1. Redistributions of source code must retain the above copyright notice, this
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list of conditions and the following disclaimer.
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2. Redistributions 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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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 IMPLIEDi
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WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
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ANY DIRECT, 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 AND
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ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#include <iostream>
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#include <string>
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#include <random>
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#include <vector>
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//Command-line parsing
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#include <CLI11.hpp>
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//Image filtering and I/O
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#define cimg_display 0
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#include <CImg.h>
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#define STB_IMAGE_IMPLEMENTATION
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#include <stb_image.h>
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#define STB_IMAGE_WRITE_IMPLEMENTATION
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#include <stb_image_write.h>
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#define MIN(a, b) (a < b ? a : b)
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int PX_IDX(int nbChannels, int width, int i, int j) {return (nbChannels*(width*j+i));}
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//Global flag to silent verbose messages
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bool silent;
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char applyFilter(unsigned char* source, int nbChannels, int width, int height, int i, int j, int channel, float* filter, int filter_size) {
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float out = 0.;
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int beg = filter_size/2;
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for (int loci=0; loci < filter_size; loci++) {
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for(int locj=0; locj < filter_size; locj++) {
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if (i+loci-beg < 0 || i+loci-beg >= width || j+locj-beg < 0 || j+locj-beg >= height) { continue; }
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out += source[PX_IDX(nbChannels, width, i+loci-beg, j+locj-beg)+channel]*filter[loci+locj*filter_size];
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}
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}
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return (char)out;
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}
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float* normalizationFilter(int filter_size) {
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/* Simple filter:
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1/9 1/9 1/9
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1/9 1/9 1/9
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1/9 1/9 1/9
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*/
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assert(filter_size%2 == 1);
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float* filter = (float*)malloc(sizeof(float)*filter_size*filter_size);
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for (int i=0; i < filter_size*filter_size; i++) { filter[i] = 1/(float)(filter_size*filter_size); };
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return filter;
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}
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float* gaussianFilter(int filter_size, float sigma) {
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/* Gaussian filter */
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assert(filter_size%2 == 1);
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int beg = filter_size/2;
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int ci, cj;
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float* filter = (float*)malloc(sizeof(float)*filter_size*filter_size);
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float sum = 0.;
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for (int i=0; i < filter_size; i++) {
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for (int j=0; j < filter_size; j++) {
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ci = abs(i-beg);
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cj = abs(j-beg);
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filter[i+j*filter_size] = exp(-(ci*ci + cj*cj)/(2.0*sigma*sigma)) / (2.0*M_PI*sigma*sigma);
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sum += filter[i+j*filter_size];
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}
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}
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for (int i=0; i < filter_size*filter_size; i++) {filter[i] = filter[i]/sum;}
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return filter;
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}
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int main(int argc, char **argv)
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{
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CLI::App app{"nonSeparableFilter"};
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std::string sourceImage;
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app.add_option("-s,--source", sourceImage, "Source image")->required()->check(CLI::ExistingFile);;
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std::string outputImage= "output.png";
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app.add_option("-o,--output", outputImage, "Output image")->required();
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double sigma = 3.0;
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app.add_option("--sigma", sigma, "Variance of the Gaussian filter");
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int filter_size = 3;
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app.add_option("-f,--filter-size", filter_size, "Size of the filter");
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silent = false;
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app.add_flag("--silent", silent, "No verbose messages");
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CLI11_PARSE(app, argc, argv);
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//Image loading
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int width,height, nbChannels;
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unsigned char *source = stbi_load(sourceImage.c_str(), &width, &height, &nbChannels, 0);
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if (!silent) std::cout<< "Source image: "<<width<<"x"<<height<<" ("<<nbChannels<<")"<< std::endl;
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//Main computation
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std::vector<unsigned char> output(width*height*nbChannels);
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float* filter = gaussianFilter(filter_size, sigma);
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for(auto i = 0 ; i < width ; ++i) {
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for(auto j = 0; j < height; ++j) {
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auto indexPixel = PX_IDX(nbChannels, width, i, j);
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for (auto channel=0; channel < MIN(3, nbChannels); channel++) {
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output[indexPixel+channel] = applyFilter(source, nbChannels, width, height, i, j, channel, filter, filter_size);
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}
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if (nbChannels == 4) //just copying the alpha value if any
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output[ indexPixel + 3] = source[ indexPixel + 3];
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}
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}
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//Final export
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if (!silent) std::cout<<"Exporting.."<<std::endl;
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int errcode = stbi_write_png(outputImage.c_str(), width, height, nbChannels, output.data(), nbChannels*width);
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if (!errcode)
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{
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std::cout<<"Error while exporting the resulting image."<<std::endl;
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exit(errcode);
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}
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free(filter);
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stbi_image_free(source);
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exit(0);
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}
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