这是一个简化的实现算法,完整的算法请参考:
Single Image Haze Removal Using Dark Channel Prior ——CVPR 2009
// define head function
#ifndef PS_ALGORITHM_H_INCLUDED
#define PS_ALGORITHM_H_INCLUDED
#include
#include
#include "cv.h"
#include "highgui.h"
#include "cxmat.hpp"
#include "cxcore.hpp"
using namespace std;
using namespace cv;
void Show_Image(Mat&, const string &);
#endif // PS_ALGORITHM_H_INCLUDED
#include "PS_Algorithm.h"
void Dark_Channel(Mat& src, Mat& dst, int Block_size);
double Atmosperic_Light(Mat& J_dark, Mat& Img);
void Recove_Img(Mat& src, Mat& dst, Mat& T, float Th, float A);
int main(void)
{
Mat Img;
Img=imread("5.jpg");
Mat D_Img(Img.size(), CV_32FC3);
Img.convertTo(D_Img, CV_32FC3);
Mat Dark_Img(D_Img.size(), CV_32FC1);
imshow("Img", Img);
int Block_size=3;
Dark_Channel(D_Img, Dark_Img, Block_size);
float A=0;
A=Atmosperic_Light(Dark_Img, D_Img);
float W=0.9;
Mat T(D_Img.size(), CV_32FC1);
T=1-W/A*Dark_Img;
//imshow("Img", T);
float Th=0.35;
Mat Img_out(D_Img.size(), CV_32FC3);
Recove_Img(D_Img, Img_out, T, Th, A);
Img_out/=255;
imshow("Out",Img_out);
waitKey();
cvDestroyAllWindows();
cout<<"All is well."<(i,j)=(float)min_value;
}
}
dst(Range(0,t), Range::all())=dst(Range(t,2*t), Range::all());
dst(Range(dst.rows-t,dst.rows), Range::all())=
dst(Range(dst.rows-(2*t),dst.rows-t), Range::all());
dst(Range::all(), Range(0,t))=dst(Range::all(),Range(t,2*t));
dst(Range::all(),Range(dst.cols-t,dst.cols))=
dst(Range::all(), Range(dst.cols-2*t,dst.cols-t));
}
double Atmosperic_Light(Mat& J_dark, Mat& Img)
{
Mat M1(J_dark.size(), CV_32FC1);
M1=J_dark;
M1.reshape(0,1);
Mat M2(1,J_dark.rows*J_dark.cols, CV_32FC1);
cv::sort(M1,M2,CV_SORT_ASCENDING);
int Index=J_dark.rows*J_dark.cols*0.9999;
float T_value=M2.at(0, Index);
float value=0;
float Temp_value;
float r_temp, g_temp, b_temp;
for(int i=0; i(i,j);
if(Temp_value>T_value)
{
r_temp=Img.at(i,j)[0];
g_temp=Img.at(i,j)[1];
b_temp=Img.at(i,j)[2];
Temp_value=(r_temp+g_temp+b_temp)/3.0;
value=max(value, Temp_value);
}
}
}
return value;
}
void Recove_Img(Mat& src, Mat& dst, Mat& T, float Th, float A)
{
float value=0;
for(int i=0; i(i,j));
dst.at(i,j)[0]=(src.at(i,j)[0]-A)/value+A;
dst.at(i,j)[1]=(src.at(i,j)[1]-A)/value+A;
dst.at(i,j)[2]=(src.at(i,j)[2]-A)/value+A;
}
}
}
原图
效果图