图像对比度增强python 伽马变换

要实现图像对比度增强的伽马变换，可以使用以下Python代码：

import cv2
import numpy as np

# 读取图像并转为灰度图
in_image = cv2.imread('p2.jpg', cv2.IMREAD_GRAYSCALE)

# 图像归一化
fI = in_image/255.0

# 设置伽马值
gamma = 0.5

# 伽马变换
out_image = np.power(fI, gamma)

# 显示原图和伽马变换后的效果
cv2.imshow('IN', in_image)
cv2.imshow('OUT', out_image)
cv2.waitKey(0)
cv2.destroyAllWindows()

这段代码首先读取图像并将其转为灰度图。然后进行图像归一化，将像素值范围映射到[0,1]之间。接下来，通过设置伽马值来调整图像的对比度。最后，显示原图和伽马变换后的效果。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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