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本文参考了

import cv2, mathimport numpy as np def demo(img_path,img_save_path):    img = cv2.imread(img_path)    print(img.dtype)    img_f = img / 255.0    (row, col, chs) = img.shape    A = 0.5                               # 亮度    beta = 0.08                           # 雾的浓度    size = math.sqrt(max(row, col))      # 雾化尺寸    center = (row // 2, col // 2)        # 雾化中心    for j in range(row):        for l in range(col):            d = -0.04 * math.sqrt((j-center[0])**2 + (l-center[1])**2) + size            td = math.exp(-beta * d)            img_f[j][l][:] = img_f[j][l][:] * td + A * (1 - td)    //转换格式，防止在保存时出现图片全黑的情况    img_f = cv2.normalize(img_f, None, 0, 255, cv2.NORM_MINMAX, cv2.CV_8U)    cv2.imwrite(img_save_path,img_f) if __name__ == '__main__':    demo("beijing.jpg","beijing_fog.jpg")

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