opencv 除雾 python

要使用OpenCV进行除雾操作的Python代码，您可以参考以下代码示例：

import cv2
import numpy as np

def preprocess(filename, i):
    image = cv2.imread(filename)
    image_gray = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
    # 直方图均衡增强
    image_equal = cv2.equalizeHist(image_gray)
    
    r,g,b = cv2.split(image)
    r1 = cv2.equalizeHist(r)
    g1 = cv2.equalizeHist(g)
    b1 = cv2.equalizeHist(b)
    image_equal_clo = cv2.merge([r1, g1, b1])
    
    # 拉普拉斯算法增强
    kernel = np.array([
        [0, -1, 0],
        [-1, 5, -1],
        [0, -1, 0]
    ])
    image_lap = cv2.filter2D(image, cv2.CV_8UC3, kernel)
    
    # 对数算法增强
    image_log = np.uint8(np.log(np.array(image) + 1))
    cv2.normalize(image_log, image_log,0, 255, cv2.NORM_MINMAX)
    cv2.convertScaleAbs(image_log, image_log)
    
    # 伽马变换
    fgamma = 2
    image_gamma = np.uint8(np.power((np.array(image) / 255.0), fgamma) * 255.0)
    cv2.normalize(image_gamma, image_gamma, 0, 255, cv2.NORM_MINMAX)
    cv2.convertScaleAbs(image_gamma, image_gamma)

这段代码展示了使用OpenCV进行图像增强的几种常用算法，包括直方图均衡化、拉普拉斯、对数和伽马变换。您可以根据需要选择其中的算法来进行除雾操作。

请注意，您需要将图像文件的路径传递给`preprocess`函数，并根据需要对代码进行适当的修改和调整。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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