python OpenCV 实现高斯滤波详解

#include <opencv2\opencv.hpp>
#include <iostream>

using namespace cv;
using namespace std;

int main()
{
	Mat img = imread("gauss_noise.png");
	
	if (img.empty())
	{
		cout << "请确认图像文件名称是否正确" << endl;
		return -1;
	}
	Mat result_5, result_9;  //存放含噪声滤波的结果，后面数字代表滤波器尺寸
	
	 //调用均值滤波函数blur()进行滤波
	GaussianBlur(img, result_5, Size(5, 5), 0, 0);
	GaussianBlur(img, result_9, Size(9, 9), 0, 0);
	//显示含有高斯噪声图像
	imshow("img_gauss", img);
	//显示去噪结果
	imshow("result_5gauss", result_5);
	imshow("result_9gauss", result_9);
	
	waitKey(0);
	return 0;
}

import cv2


# ----------------------读取图片-----------------------------
img = cv2.imread('gauss_noise.png')
# ----------------------高斯滤波-----------------------------
result_5 = cv2.GaussianBlur(img, (5, 5), 0)  # 5x5
result_9 = cv2.GaussianBlur(img, (9, 9), 0)  # 9x9
# ----------------------显示结果-----------------------------
cv2.imshow('origion_pic', img)
cv2.imshow('5x5_filtered_pic', result_5)
cv2.imshow('9x9_filtered_pic', result_9)
cv2.waitKey(0)