向图像添加像素独立噪声

import cv2
import numpy as np

def add_gaussian_noise(image, mean=0, var=0.1):
    """
    向图像添加高斯噪声
    :param image: 输入图像
    :param mean: 高斯分布的均值
    :param var: 高斯分布的方差
    :return: 添加噪声后的图像
    """
    row, col, ch = image.shape
    sigma = var ** 0.5
    gauss = np.random.normal(mean, sigma, (row, col, ch))
    gauss = gauss.reshape(row, col, ch)
    noisy_image = image + gauss
    noisy_image = np.clip(noisy_image, 0, 255).astype(np.uint8)
    return noisy_image

# 读取图像
image = cv2.imread('path_to_your_image.jpg')

# 添加高斯噪声
noisy_image = add_gaussian_noise(image)

# 显示结果
cv2.imshow('Original Image', image)
cv2.imshow('Noisy Image', noisy_image)
cv2.waitKey(0)
cv2.destroyAllWindows()