TV 图像降噪

最新推荐文章于 2023-05-25 16:35:35 发布

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最新推荐文章于 2023-05-25 16:35:35 发布 · 916 阅读

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CC 4.0 BY-SA版权

本文探讨了TV图像降噪的最新进展，通过详细的分析，实现了PSNR值达到30.2233的优秀效果，揭示了在图像处理领域的关键技术点。

#include<opencv2/opencv.hpp>

#include<iostream>
#include<math.h>
using namespace std;
using namespace cv;

Mat Demo_tv(Mat srcImage);

int main()
{
	Mat noiseImage=imread("F:/picture/noiseImage.jpg",0);
	Mat srcImage = imread("F:/picture/lena.jpg",0);
	if(srcImage.empty())
		return -1;
	Mat dstImage;

	dstImage=Demo_tv(noiseImage);
	double snr=PSNR(srcImage,dstImage);
	cout<<"snr="<<snr<<endl;
	imshow("dstImage",dstImage);
	imwrite("TV_denoiseImage.jpg",dstImage);
	waitKey(0);
	return 0;
}

Mat Demo_tv(Mat srcImage)
{
	double deltaT=2;
	int nCols=srcImage.cols;
	int nRows=srcImage.rows;

	Mat TempImage=srcImage.clone();
	TempImage.convertTo(TempImage,CV_32FC1);
	srcImage.convertTo(srcImage,CV_32FC1);

	Mat kernelXb=(Mat_<float>(3,3)<<0,-1,0,0,1,0,0,0,0);
	Mat kernelXf=(Mat_<float>(3,3)<<0,0,0,0,-1,0,0,1,0);
	Mat kernelYb=(Mat_<float>(3,3)<<0,0,0,-1,1,0,0,0,0);
	Mat kernelYf=(Mat_<