Underwater image enhancement based on red channel weighted compensation and gamma correction model

被引：1
|
作者：
Wending Xiang [1 ,2 ,3 ]
Ping Yang [1 ,2 ]
Shuai Wang [1 ,2 ]
Bing Xu [2 ]
Hui Liu [4 ]
机构：
[1] Key Laboratory of Adaptive Optics, Chinese Academy of Sciences
[2] University of Chinese Academy of Sciences
[3] Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences
[4] Institute of Optics and Electronics, Chinese Academy of Sciences
来源：
Opto-Electronic Advances | 2018年 / 1卷 / 10期
关键词：
D O I：
暂无
中图分类号：
TP391.41 [];
学科分类号：
080203 ;
摘要：
Due to the special characteristics of light in water, the information of the red channel is seriously attenuated in collected image. This causes other colors to dominate the image. This paper proposes an underwater image enhancement algorithm based on red channel weighted compensation and gamma correction model. Firstly, by analyzing the attenuation characteristics of RGB channels, the intensity and the edge information of red channel are compensated by weighting the attenuation coefficient ratio between different channels to correct the chromaticity. Then the gamma correction model is employed to stretch the intensity range to enhance the contrast which makes the image look clearer. The experimental results show that the proposed algorithm can correct the color cast effect and improve the contrast by nearly 2 times for the underwater images with too much red component attenuation.
引用
收藏
页码：16 / 24
页数：9
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