基于单幅图像的快速去雾

开源地址：​​https://github.com/BBuf/Image-processing-algorithm​​

前言

这是OpenCV图像处理算法朴素实现用于单幅图像去雾的算法，作者来自清华大学。

算法流程

python实现：C++实现请查看开源地址源码，或者​​【点击】​​

import cv2
import numpy as np


def single_image_defogging(img):
    height,width = img.shape[:2]
    img_min = np.min(img,axis=2)
    img_max = np.max(img,axis=2)
    img_min_sum = np.sum(img_min)
    ave = img_min_sum/(height*width*255)
    eps = 0.85 / ave
    delta = min(0.9, eps * ave)

    img_ave = cv2.boxFilter(img_min, -1, (51, 51))
    img_L = np.minimum((img_ave*delta).astype(np.uint8),img_min)
    A = np.max(img_max) + np.max(img_ave) * 0.5

    temp = np.zeros((height,width,3),dtype=np.uint8)
    temp[:,:,0] = np.subtract(img[:,:,0], img_L)
    temp[:,:,1] = np.subtract(img[:,:,1], img_L)
    temp[:,:,2] = np.subtract(img[:,:,2], img_L)
    temp_AL = np.subtract(A, img_L)
    temp_3AL = temp_AL[:, :,np.newaxis].repeat(3, axis=2)


    img_dst = np.divide(np.multiply(A,temp),temp_3AL).astype(np.uint8)
    img_dst = np.where(img_dst > 255, 255, img_dst)
    img_dst = np.where(img_dst < 0, 0, img_dst)
    return img_dst


if __name__ == '__main__':
    img = cv2.imread("./fog.jpg")
    result_img = single_image_defogging(img)
    cv2.imwrite("./fog22.jpeg", result_img)
    cv2.imshow("result_img",result_img)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

显示效果还行。如下：（去雾之后图像变暗了，需要进行gamma校正）