Image blur has two types: mean blur and Gaussian blur
Mean blur: blur(Mat src,Mat dst, size(xradius, yradius),Point(-1,-1));
Gaussian Blur: GaussianBlur(Mat src,Mat dst, size(11,11), sigmax, sigmay); where size (x, y), x, y must be positive and odd
#include<opencv2/opencv.hpp>
#include <iostream>
using namespace cv;
using namespace std;
int main()
{
Mat src, dst,dst2;
src = imread("C:/Users/Lenovo/Desktop/新建文件夹/ConsoleApplication3/lly.jpg");
if (!src.data)
{
cout << "image could not load..." << endl;
return -1;
}
string int_put_window = "intput";
string out_put_window = "blur_output";
string out_put_window2 = "gaussianblur_output";
blur(src, dst, Size(5, 5), Point(-1, -1));
GaussianBlur(src, dst2, Size(5, 5), 11, 11);
namedWindow(out_put_window, WINDOW_AUTOSIZE);
namedWindow(int_put_window, WINDOW_AUTOSIZE);
namedWindow(out_put_window2, WINDOW_AUTOSIZE);
imshow(int_put_window, src);
imshow(out_put_window, dst);
imshow(out_put_window2, dst2);
waitKey(0);
return 0;
}
Normal image and mean blur contrast
Comparison of mean blur and Gaussian blur