图像加雾仿真

import cv2, math
import numpy as np   
def AddHaze00(img):
    img_f=img/255
    (row,col,chs)=img.shape
    A=0.6#亮度
    beta=0.08#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)
    return img_f
def AddHaze01(img):
    img_h=img/255
    A=np.random.uniform(0.6,0.95)
    t=np.random.uniform(0.3,0.95)
    img_h=img_h*t+A*(1-t)
    return img_h
img_path='C:/Users/xpp/Desktop/Lena.png'
img=cv2.imread(img_path)
cv2.imshow("original",img)
result00=AddHaze00(img)
result01=AddHaze01(img)
cv2.imshow("result00",result00)
cv2.imshow("result01",result01)
cv2.waitKey()