opencv/modules/photo/src/npr.cpp

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/*M///////////////////////////////////////////////////////////////////////////////////////
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#include "precomp.hpp"
#include "opencv2/photo.hpp"
#include <iostream>
#include <stdlib.h>
#include "npr.hpp"
using namespace std;
using namespace cv;
void cv::edgePreservingFilter(InputArray _src, OutputArray _dst, int flags, float sigma_s, float sigma_r)
{
Mat I = _src.getMat();
_dst.create(I.size(), CV_8UC3);
Mat dst = _dst.getMat();
int h = I.size().height;
int w = I.size().width;
Mat res = Mat(h,w,CV_32FC3);
dst.convertTo(res,CV_32FC3,1.0/255.0);
Domain_Filter obj;
Mat img = Mat(I.size(),CV_32FC3);
I.convertTo(img,CV_32FC3,1.0/255.0);
obj.filter(img, res, sigma_s, sigma_r, flags);
convertScaleAbs(res, dst, 255,0);
}
void cv::detailEnhance(InputArray _src, OutputArray _dst, float sigma_s, float sigma_r)
{
Mat I = _src.getMat();
_dst.create(I.size(), CV_8UC3);
Mat dst = _dst.getMat();
int h = I.size().height;
int w = I.size().width;
float factor = 3.0;
Mat img = Mat(I.size(),CV_32FC3);
I.convertTo(img,CV_32FC3,1.0/255.0);
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Mat res = Mat(h,w,CV_32FC1);
dst.convertTo(res,CV_32FC3,1.0/255.0);
Mat result = Mat(img.size(),CV_32FC3);
Mat lab = Mat(img.size(),CV_32FC3);
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vector <Mat> lab_channel;
cvtColor(img,lab,COLOR_BGR2Lab);
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split(lab,lab_channel);
Mat L = Mat(img.size(),CV_32FC1);
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lab_channel[0].convertTo(L,CV_32FC1,1.0/255.0);
Domain_Filter obj;
obj.filter(L, res, sigma_s, sigma_r, 1);
Mat detail = Mat(h,w,CV_32FC1);
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detail = L - res;
multiply(detail,factor,detail);
L = res + detail;
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L.convertTo(lab_channel[0],CV_32FC1,255);
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merge(lab_channel,lab);
cvtColor(lab,result,COLOR_Lab2BGR);
result.convertTo(dst,CV_8UC3,255);
}
void cv::pencilSketch(InputArray _src, OutputArray _dst1, OutputArray _dst2, float sigma_s, float sigma_r, float shade_factor)
{
Mat I = _src.getMat();
_dst1.create(I.size(), CV_8UC1);
Mat dst1 = _dst1.getMat();
_dst2.create(I.size(), CV_8UC3);
Mat dst2 = _dst2.getMat();
Mat img = Mat(I.size(),CV_32FC3);
I.convertTo(img,CV_32FC3,1.0/255.0);
Domain_Filter obj;
Mat sketch = Mat(I.size(),CV_32FC1);
Mat color_sketch = Mat(I.size(),CV_32FC3);
obj.pencil_sketch(img, sketch, color_sketch, sigma_s, sigma_r, shade_factor);
sketch.convertTo(dst1,CV_8UC1,255);
color_sketch.convertTo(dst2,CV_8UC3,255);
}
void cv::stylization(InputArray _src, OutputArray _dst, float sigma_s, float sigma_r)
{
Mat I = _src.getMat();
_dst.create(I.size(), CV_8UC3);
Mat dst = _dst.getMat();
Mat img = Mat(I.size(),CV_32FC3);
I.convertTo(img,CV_32FC3,1.0/255.0);
int h = img.size().height;
int w = img.size().width;
int channel = img.channels();
Mat res = Mat(h,w,CV_32FC3);
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Mat magnitude = Mat(h,w,CV_32FC1);
Domain_Filter obj;
obj.filter(img, res, sigma_s, sigma_r, NORMCONV_FILTER);
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obj.find_magnitude(res,magnitude,2);
Mat stylized = Mat(h,w,CV_32FC3);
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vector <Mat> temp;
split(res,temp);
multiply(temp[0],magnitude,temp[0]);
multiply(temp[1],magnitude,temp[1]);
multiply(temp[2],magnitude,temp[2]);
merge(temp,stylized);
stylized.convertTo(dst,CV_8UC3,255);
}
void cv::edgeEnhance(InputArray _src, OutputArray _dst, float sigma_s, float sigma_r)
{
Mat I = _src.getMat();
_dst.create(I.size(), CV_8UC1);
Mat dst = _dst.getMat();
Mat img = Mat(I.size(),CV_32FC3);
I.convertTo(img,CV_32FC3,1.0/255.0);
Mat orig = img.clone();
int h = img.size().height;
int w = img.size().width;
Mat res = Mat(h,w,CV_32FC3);
Mat magnitude = Mat(h,w,CV_32FC1);
Mat mag8 = Mat(h,w,CV_32FC1);
Domain_Filter obj;
obj.filter(img, res, sigma_s, sigma_r, NORMCONV_FILTER);
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obj.find_magnitude(res,magnitude,1);
magnitude.convertTo(dst,CV_8UC1,255);
}