OpenCV && C++ 08 - Homogeneous Blur on Images with OpenCV

3x3 Normalized box filter

5x5 Normalized box filter

Code

/*
作者：郑大峰
时间：2019年09月23日
环境：OpenCV 4.1.1 + VS2017
内容：Homogeneous Blur on Images with OpenCV
*/

#include "pch.h"
#include <iostream>
#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv;

int main()
{
    Mat image = imread("claudia.png");

    if (image.empty())
    {
        cout << "Could not open or find the image" << endl;
        cin.get();
        return -1;
    }

    //Blur the image with 3x3 kernel
    Mat image_blurred_with_3x3_kernel;
    blur(image, image_blurred_with_3x3_kernel, Size(3, 3));

    //Blur the image with 5x5 kernel
    Mat image_blurred_with_5x5_kernel;
    blur(image, image_blurred_with_5x5_kernel, Size(5, 5));

    //Define names of the windows
    String window_name = "claudia.png";
    String window_name_blurred_with_3x3_kernel = "claudia.png Blurred with 3 x 3 Kernel";
    String window_name_blurred_with_5x5_kernel = "claudia.png Blurred with 5 x 5 Kernel";

    // Create windows with above names
    namedWindow(window_name);
    namedWindow(window_name_blurred_with_3x3_kernel);
    namedWindow(window_name_blurred_with_5x5_kernel);

    // Show our images inside the created windows.
    imshow(window_name, image);
    imshow(window_name_blurred_with_3x3_kernel, image_blurred_with_3x3_kernel);
    imshow(window_name_blurred_with_5x5_kernel, image_blurred_with_5x5_kernel);

    waitKey(0); // Wait for any key stroke

    destroyAllWindows(); //destroy all open windows

    return 0;
}

Result

You can see from the image, the larger the size of the core, the more serious loss of image detail.