代码实现图像光照增强

图像光照增强是一种常见的图像处理技术，可以提高图像的亮度和对比度，使图像更加清晰、鲜明。下面是一份 Python [代码](https://geek.csdn.net/educolumn/1572ef9b473b4e00f6b2bf6d428b7c27?spm=1055.2569.3001.10083)实现图像光照增强的示例： ```python import cv2 import numpy as np def adjust_gamma([image](https://geek.csdn.net/educolumn/1defff92b42756fda40b623df99f03da?spm=1055.2569.3001.10083), gamma=1.0): # 将输入图像的像素值进行伽马变换，增强图像的亮度和对比度 invGamma = 1.0 / gamma table = np.array([((i / 255.0) ** invGamma) * 255 for i in np.arange(0, 256)]).[ast](https://geek.csdn.net/educolumn/1d2c256574d93ae646d4473629b198e6?spm=1055.2569.3001.10083)ype("uint8") return cv2.LUT([image](https://geek.csdn.net/educolumn/1defff92b42756fda40b623df99f03da?spm=1055.2569.3001.10083), table) def histeq(image): # 对输入图像进行直方图均衡化，增强图像的对比度 gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) equ = cv2.equalizeHist(gray) return cv2.merge((equ,equ,equ)) def en[han](https://geek.csdn.net/educolumn/0d22b54eaf6bcf967d9625e1679d00b4?spm=1055.2569.3001.10083)ce_image(image, gamma=1.0): # 将输入图像进行光照增强 image = adjust_gamma(image, gamma=gamma) image = histeq(image) return image # 加载图像 image = cv2.im ```