首先对原图像加椒盐噪声,之后经中值滤波 import cv2 as cv import numpy as np def noise(img,snr): h=img.shape[0] w=img.shape[1] img1=img.copy() sp=h*w NP=int(sp*(1-snr)) for i in range (NP): randx=np.random.randint(1,h-1) # random randy=np.random.randint(1,w-1) if np.rand
