中值滤波器英文

一. 中值滤波：     中值滤波器是一种可以使图像平滑的滤波器。它使用滤波器范围内的像素的中值去代表该范围内所有的像素。中值滤波是消除图像噪声最常见的手段之一，特别是消除椒盐噪声，中值滤波的效果要比均值滤波更好。 二. python实现中值滤波和均值滤波，并用两种滤波器对受到椒盐噪声污染的图像进行去噪 import cv2 import numpy as np # Median filter def median_filter(img, K_size=3):     H, W, C = img.shape     ## Zero padding     pad = K_size // 2     out = np.zeros((H + pad*2, W + pad*2, C), dtype=np.float)     out[pad:pad+H, pad:pad+W] = img.copy().astype(np.float)     tmp = out.copy()     # filtering     for y in range(H):         for x in range(W):             for c in range(C):                 out[pad+y, pad+x, c] = np.median(tmp[y:y+K_size, x:x+K_size, c])     out = out[pad:pad+H, pad:pad+W].astype(np.uint8)     return out # Average filter def average_filter(img, G=3):     out = img.copy()     H, W, C = img.shape     Nh = int(H / G)     Nw = int(W / G)     for y in range(Nh):         for x in range(Nw):             for c in range(C):                 out[G*y:G*(y+1), G*x:G*(x+1), c] = np.mean(out[G*y:G*(y+1), G*x:G*(x+1), c]).astype(np.int)    return out # Read image img = cv2.imread("../paojie_sp.jpg") # Median Filter and Average Filter out1 = median_filter(img, K_size=3) out2 = average_filter(img,G=3) # Save result cv2.imwrite("out1.jpg", out1) cv2.imwrite("out2.jpg", out2) cv2.waitKey(0) cv2.destroyAllWindows() 三. 实验结果         可以明显看出，对于受到椒盐噪声污染的图像，中值滤波往往比均值滤波的去噪效果要好！ 四. 参考内容：