OpenCV——去雾

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 <iostream>
#include <string>
#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."<<endl;
} void Dark_Channel(Mat& src, Mat& dst, int Block_size)
{
Mat R(src.size(), CV_32FC1);
Mat G(src.size(), CV_32FC1);
Mat B(src.size(), CV_32FC1); Mat m_array[]={R,G,B};
cv::split(src, m_array); int t=0;
t=(Block_size-1)/2; Mat a1(Block_size, Block_size, CV_32FC1);
Mat a2(Block_size, Block_size, CV_32FC1);
Mat a3(Block_size, Block_size, CV_32FC1); double min_a1=0;
double min_a2=0;
double min_a3=0; double min_value=0; for(int i=t; i<dst.rows-t; i++)
{
for(int j=t; j<dst.cols-t; j++)
{
a1=R(Range(i-t,i+t+1), Range(j-t,j+t+1));
a2=G(Range(i-t,i+t+1), Range(j-t,j+t+1));
a3=B(Range(i-t,i+t+1), Range(j-t,j+t+1)); cv::minMaxLoc(a1, &min_a1,NULL,NULL,NULL);
cv::minMaxLoc(a2, &min_a2,NULL,NULL,NULL);
cv::minMaxLoc(a3, &min_a3,NULL,NULL,NULL); min_value=min(min_a1, min_a2);
min_value=min(min_a3, min_value); dst.at<float>(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<float>(0, Index); float value=0;
float Temp_value;
float r_temp, g_temp, b_temp; for(int i=0; i<Img.rows; i++)
{
for(int j=0; j<Img.cols; j++)
{
Temp_value=J_dark.at<float>(i,j);
if(Temp_value>T_value)
{
r_temp=Img.at<Vec3f>(i,j)[0];
g_temp=Img.at<Vec3f>(i,j)[1];
b_temp=Img.at<Vec3f>(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<src.rows; i++)
{
for(int j=0; j<src.cols; j++)
{
value=max(Th, T.at<float>(i,j));
dst.at<Vec3f>(i,j)[0]=(src.at<Vec3f>(i,j)[0]-A)/value+A;
dst.at<Vec3f>(i,j)[1]=(src.at<Vec3f>(i,j)[1]-A)/value+A;
dst.at<Vec3f>(i,j)[2]=(src.at<Vec3f>(i,j)[2]-A)/value+A;
}
} }

原图
OpenCV——去雾

效果图
OpenCV——去雾
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