夜间拍照图像对比度的Gamma灰度校正  

The Gamma Grayscale Correction of Image Contrast at Night

作　　者：董雪莹 李良荣 黄子强[2] DONG Xueying;LI Liangrong;HUANG Ziqiang(College of Big Data and Information Engineering,Guizhou University,Guiyang 550025,CHN;Institute of Electronic Science and Technology,University of Electronic Science and Technology,Chengdu 611731,CHN)

机构地区：[1]贵州大学大数据与信息工程学院,贵阳550025 [2]电子科技大学电子科学技术研究院,成都611731

出　　处：《光电子技术》2018年第3期195-199,208,共6页Optoelectronic Technology

基　　金：国家自然科学基金(No.61361012)

摘　　要：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.

关 键 词：亮度提取 区域分割 伽马校正 信息还原 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]