编写中值滤波程序处理高斯噪声和椒盐噪声的代码

中值滤波是一种非线性滤波，可以有效地去除高斯噪声和椒盐噪声。下面是一份Python代码示例，可以实现中值滤波处理高斯噪声和椒盐噪声。

import cv2
import numpy as np

# 读取图片
img = cv2.imread('test.jpg')

# 添加高斯噪声
img_gaussian = cv2.GaussianBlur(img, (5, 5), 0.8)

# 添加椒盐噪声
img_sp = img.copy()
sp_ratio = 0.05
noise_num = int(sp_ratio * img_sp.shape * img_sp.shape)
for i in range(noise_num):
    rand_x = np.random.randint(0, img_sp.shape)
    rand_y = np.random.randint(0, img_sp.shape)
    if np.random.rand() < 0.5:
        img_sp[rand_x, rand_y] = 0
    else:
        img_sp[rand_x, rand_y] = 255

# 中值滤波去除高斯噪声
img_median_gaussian = cv2.medianBlur(img_gaussian, 5)

# 中值滤波去除椒盐噪声
img_median_sp = cv2.medianBlur(img_sp, 5)

# 显示图片
cv2.imshow('Original Image', img)
cv2.imshow('Gaussian Noise Image', img_gaussian)
cv2.imshow('Salt and Pepper Noise Image', img_sp)
cv2.imshow('Median Filtered Gaussian Noise Image', img_median_gaussian)
cv2.imshow('Median Filtered Salt and Pepper Noise Image', img_median_sp)
cv2.waitKey(0)