非均匀光照图像双分量增强Retinex算法  

Two Components Enhanced Retinex Algorithm for Uneven Lighting Images

作　　者：周凯汀[1] 郑力新 ZHOU Kaiting;ZHENG Lixin(College of Information Science and Engineering,Huaqiao University,Xiamen 361021,China;College of Engineering,Huaqiao University,Quanzhou 362021,China)

机构地区：[1]华侨大学信息科学与工程学院,厦门361021 [2]华侨大学工学院,泉州362021

出　　处：《电气电子教学学报》2023年第5期227-230,共4页Journal of Electrical and Electronic Education

基　　金：福建省科技计划项目(2020Y0039);泉州市高层次人才创新创业项目(2020C042R)。

摘　　要：图像增强是“数字图像处理”课程的一项重要教学内容。针对图像增强方法的实践训练,给出一个综合实验-非均匀光照图像双分量增强Retinex算法,该实验整合了灰度变换、直方图均衡、图像平滑、去锐化掩模、高频增强等图像增强方法,并引入用于图像质量评价的量化指标等内容,图像增强效果好,对于图像增强的实践教学具有较好的参考价值。Image enhancement is an important content in the course of Digital Image Processing.Focusing on practical training of image enhancement techniques,a comprehensive experiment—two components enhanced retinex algorithm for uneven lighting images is presented.The experiment integrates image enhancement techniques such as histogram stretching,histogram equalization,image smoothing,unsharp masking,high-boost filtering,and introduces quantitative indexes for image quality assessment.It brings improved image quality and provides a valuable reference to the practical teaching of image enhancement.

关 键 词：非均匀光照图像 图像增强 RETINEX 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]