#include<iostream>
using namespace std;
#include<opencv2/opencv.hpp>
#include<vector>
using namespace cv;//均方誤差法圖像質(zhì)量評價（越大越差）
void Mse(Mat& src1, Mat& src2)
{double sum,sum1=0;int k = src1.rows * src2.cols;for (int i = 0; i < src1.rows; i++){uchar* image1 = src1.ptr(i);uchar* image2 = src2.ptr(i);for (int j = 0; j < src1.cols; j++){sum=pow((image1[j] - image2[j]), 2);sum1 += sum;}}double mse = sum1 / k;cout << mse << endl;}//峰值信噪比圖像質(zhì)量評價（越小越差）
void PSNR(Mat& src1, Mat& src2)
{double sum, sum1 = 0;int k = src1.rows * src2.cols;for (int i = 0; i < src1.rows; i++){uchar* image1 = src1.ptr(i);uchar* image2 = src2.ptr(i);for (int j = 0; j < src1.cols; j++){sum = pow((image1[j] - image2[j]), 2);sum1 += sum;}}double mse = sum1 / k;double l = pow(255, 2);double psnr = 10 * log10(l / mse);cout << mse << endl;cout << psnr << endl;
}int main()
{Mat src = imread("D:\\VC\\c++\\opencv源碼\\opencv源碼\\6.jpg",IMREAD_GRAYSCALE);//讀入圖像Mat src1 = imread("D:\\VC\\c++\\opencv源碼\\opencv源碼\\7.jpg",IMREAD_GRAYSCALE);//讀入圖像//判斷是否為灰度圖if (src.channels() == 1 || src.channels() == 1){Mse(src, src1);PSNR(src, src1);}else{cout << "您輸入的圖片不是灰度圖" << endl;}system("pause");return 0;
}

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