针对夜间拍照图像分辨率较低, 暗部对比度较差的问题, 提出了一种基于二次图像分割的区域Gamma校正算法。首先, 在最大类间方差法的分割基础上, 将图像进行直方图波谷法的二次分割, 提取出图像亮度信息。然后将区域分割后的图像分别进行Gamma校正, 实现图像的灰度校正与信息还原。通过MATLAB仿真实验, 验证了该方法与其它方法对比具有较好的灰度校正和信息还原的效果。

A regional Gamma correction algorithm based on quadratic image segmentation was proposed. Firstly, based on the segmentation of the most common difference method, the image was obtained by the second segmentation of the histogram method, and the image brightness information was extracted. Then the image of the region was adjusted by Gamma correction and numerical integration, and the grayscale correction and information reduction were realized. Through MATLAB simulation experiment, the method was verified to have better gray-scale correction and information reduction by comparing with other methods.