In this tutorial I'll show you how to implement a super fast, easy to use Gamma correction function using Python and OpenCV. Click here to learn more.
Gamma校正及其OpenCV实现 /wiki/Gamma_correction 一、什么是Gamma校正? Gamma校正是对输入图像灰度值进行的非线性操作,使输出图像灰度值与输入图像灰度值呈指数关系: [2] 这个指数即为Gamma...,当gamma值小于1时(蓝色曲线),图像的整体亮度值得到提升,同时低灰度处的对比度得到增加,更利于分辩低灰度值时的图像细节...
opencvimage-processingopencv2pre-processinggamma-correctionglare-reductionrecovering-glare-images UpdatedAug 3, 2019 Python lnstadrum/fastaugment Star15 Code Issues Pull requests A handy data augmentation toolkit for image classification put in a single efficient TensorFlow/PyTorch op. ...
importcv2importnumpyasnpdefgamma_correction(image,gamma):inv_gamma=1.0/gamma# 生成查找表lookup_table=np.array([((i/255.0)**inv_gamma)*255foriinrange(256)]).astype("uint8")# 应用查找表returncv2.LUT(image,lookup_table)# 读取图像input_image=cv2.imread('input_image.jpg')# 应用 gamma 校正...
A = demosaic(A,'rggb'); %% 应用Gamma校正 A_sRGB = lin2rgb(A); %% 关闭警告 warning('off','images:initSize:adjustingMag') %% 将多张图片以矩阵形式显示 montage({A,A_sRGB}, 'Size', [2 1]); title('原始图片——Gamma校正后图片')...