图像增强：伽马变换（python程序）

import cv2
import numpy as np
import sys
import matplotlib.pyplot as plt
#伽马变换，有参数,利用幂函数运算

def gamma_bianhuan(image,gamma):
    image=image/255.0
    New=np.power(image,gamma)
    return New


if __name__=='__main__':   ##启动语句
    a= cv2.imread('D:/2.png', cv2.IMREAD_UNCHANGED)  # 路径名中不能有中文，会出错,cv2.
    image1 = cv2.split(a)[0]#蓝
    image2 = cv2.split(a)[1]#绿
    image3 = cv2.split(a)[2]#红
    cv2.imshow("原图", image1)#输出原图蓝色通道
    image_1=gamma_bianhuan(image1,1.5)
    image_1_2 = gamma_bianhuan(image1, 0.5)
    image_2 = gamma_bianhuan(image2,0.5)
    image_3 = gamma_bianhuan(image3,0.5)
    merged = cv2.merge([image1, image2, image3])#合并三通道
    cv2.imshow("增强后图1", image_1_2)  # 处理后的蓝色通道
    cv2.imshow("增强后图2",image_1)#处理后的蓝色通道
    cv2.waitKey(0)
    cv2.destroyAllWindows()

原图，gamma=0.5,gamma=1.5的效果图分别为：