import cv2
import numpy as npdef adjust_gamma(image, gamma=1.0):invGamma = 1.0 / gammatable = np.array([((i / 255.0) ** invGamma) * 255 for i in np.arange(0, 256)]).astype("uint8")return cv2.LUT(image, table)# 读取图像
original = cv2.imread("test.png", 1)# gamma矫正
gamma = 1.8 # 矫正系数：越大越亮、越小越暗
adjusted = adjust_gamma(original, gamma=gamma)
cv2.imwrite("result.jpg", adjusted)
矫正前后效果如下：
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![[算法与数据结构][python]：Python参数传递，“值传递”还是“引用传递“？](http://pic.xiahunao.cn/[算法与数据结构][python]：Python参数传递，“值传递”还是“引用传递“？)
