opencv/modules/photo/src/npr.cpp
2018-09-14 06:45:31 +09:00

164 lines
4.7 KiB
C++

/*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 "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)
{
CV_INSTRUMENT_REGION();
Mat I = _src.getMat();
Domain_Filter obj;
Mat img;
I.convertTo(img,CV_32FC3,1.0/255.0);
Mat res;
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)
{
CV_INSTRUMENT_REGION();
Mat I = _src.getMat();
float factor = 3.0f;
Mat img;
I.convertTo(img,CV_32FC3,1.0/255.0);
Mat lab;
vector <Mat> lab_channel;
cvtColor(img,lab,COLOR_BGR2Lab);
split(lab,lab_channel);
Mat L;
lab_channel[0].convertTo(L,CV_32FC1,1.0/255.0);
Domain_Filter obj;
Mat res;
obj.filter(L, res, sigma_s, sigma_r, 1);
Mat detail = L - res;
multiply(detail,factor,detail);
L = res + detail;
L.convertTo(lab_channel[0],CV_32FC1,255);
merge(lab_channel,lab);
cvtColor(lab,res,COLOR_Lab2BGR);
res.convertTo(dst,CV_8UC3,255);
}
void cv::pencilSketch(InputArray _src, OutputArray _dst1, OutputArray _dst2, float sigma_s, float sigma_r, float shade_factor)
{
CV_INSTRUMENT_REGION();
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)
{
CV_INSTRUMENT_REGION();
Mat I = _src.getMat();
_dst.create(I.size(), CV_8UC3);
Mat dst = _dst.getMat();
Mat img;
I.convertTo(img,CV_32FC3,1.0/255.0);
int h = img.size().height;
int w = img.size().width;
Mat res;
Mat magnitude = Mat(h,w,CV_32FC1);
Domain_Filter obj;
obj.filter(img, res, sigma_s, sigma_r, NORMCONV_FILTER);
obj.find_magnitude(res,magnitude);
Mat stylized;
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);
}