判断图像质量的好坏（opencv）

#include
using namespace std;
#include
#include
using namespace cv;

//均方误差法图像质量评价（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;
	
}

//峰值信噪比图像质量评价（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源码\opencv源码\6.jpg",IMREAD_GRAYSCALE);//读入图像
	Mat src1 = imread("D:\VC\c++\opencv源码\opencv源码\7.jpg",IMREAD_GRAYSCALE);//读入图像
	//判断是否为灰度图
	if (src.channels() == 1 || src.channels() == 1)
	{
		Mse(src, src1);
		PSNR(src, src1);
	}
	else
	{
		cout << "您输入的图片不是灰度图" << endl;
	}
	system("pause");
	return 0;
}