计算机科学
对比度增强
图像增强
对比度(视觉)
人工智能
直方图
计算机视觉
分析
性能增强
图像(数学)
直方图均衡化
数据挖掘
医学
磁共振成像
放射科
物理医学与康复
作者
Seonhee Park,Ki-Yeon Kim,Shuhui Yu,Joonki Paik
出处
期刊:IEIE Transactions on Smart Processing and Computing
[The Institute of Electronics Engineers of Korea]
日期:2018-02-28
卷期号:7 (1): 36-48
被引量:16
标识
DOI:10.5573/ieiespc.2018.7.1.036
摘要
In this paper, various contrast and low-light image enhancement methods are described and classified into three categories: i) histogram-based, ii) transmission map–based, and iii) retinexbased. The performance of the image enhancement algorithms is evaluated by comparing the resulting images using low-contrast and low-light images acquired under different illumination conditions. Various image enhancement algorithms are analyzed for both performance and efficiency. The described image enhancement algorithms can be applied to various visual surveillance or video analytics applications with low-light, low-contrast video input.
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