给图像添加椒盐噪声和高斯噪声 python实现

import numpy as np
import random
import cv2
from matplotlib import pyplot as plt
def sp_noise(image,prob):
    '''
    添加椒盐噪声
    prob:噪声比例
    '''
    output = np.zeros(image.shape,np.uint8)
    thres = 1 - prob
    for i in range(image.shape[0]):
        for j in range(image.shape[1]):
            rdn = random.random()
            if rdn < prob:
                output[i][j] = 0
            elif rdn > thres:
                output[i][j] = 255
            else:
                output[i][j] = image[i][j]
    return output
def gasuss_noise(image, mean=0, var=0.001):
    '''
        添加高斯噪声
        mean : 均值
        var : 方差
    '''
    image = np.array(image/255, dtype=float)
    noise = np.random.normal(mean, var ** 0.5, image.shape)
    out = image + noise
    if out.min() < 0:
        low_clip = -1.
    else:
        low_clip = 0.
    out = np.clip(out, low_clip, 1.0)
    out = np.uint8(out*255)
    #cv.imshow("gasuss", out)
    return out
# Read image
img = cv2.imread("img/1.jpg")
# 添加椒盐噪声，噪声比例为 0.02
out1 = sp_noise(img, prob=0.02)
# 添加高斯噪声，均值为0，方差为0.001
out2 = gasuss_noise(img, mean=0, var=0.001)
cv2.imwrite('1_.jpg',out2)
cv2.imwrite("1__.jpg",out1)