中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Efficient underwater image and video enhancement based on Retinex

文献类型:期刊论文

作者Tang, Chong1,2; von Lukas, Uwe Freiherr3,4; Vahl, Matthias3; Wang, Shuo1,2,5; Wang, Yu1; Tan, Min1
刊名SIGNAL IMAGE AND VIDEO PROCESSING
出版日期2019-07-01
卷号13期号:5页码:1011-1018
关键词Underwater video processing Color correction Contrast improvement Retinex MSRCP
ISSN号1863-1703
DOI10.1007/s11760-019-01439-y
通讯作者Wang, Shuo(shuo.wang@ia.ac.cn)
英文摘要The Retinex models the human visual system to perceive natural colors, which could improve the contrast and sharpness of the degraded image and also provide color constancy and dynamic range simultaneously. This endows the Retinex exceeding advantages for enhancing the underwater image. Based on the multi-scale Retinex, an efficient enhancement method for underwater image and video is presented in this paper. Firstly, the image is pre-corrected to equalize the pixel distribution and reduce the dominating color. Then, the classical multi-scale Retinex with intensity channel is applied to the pre-corrected images for further improving the contrast and the color. In addition, multi-down-sampling and infinite impulse response Gaussian filtering are adopted to increase processing speed. Subsequently, the image is restored from logarithmic domain and the illumination of the restored image is compensated based on statistical properties. Finally, the color is selectively preserved by the inverted gray world method depending on imaging conditions and application requirements. Five kinds of typical underwater images with green, blue, turbid, dark and colorful backgrounds and two underwater videos are enhanced and evaluated on Jetson TX2, respectively, to verify the effectiveness of the proposed method.
资助项目National Natural Science Foundation of China[61703401] ; National Natural Science Foundation of China[U1713222] ; National Natural Science Foundation of China[61773378] ; National Natural Science Foundation of China[U1806204] ; Foundation for Innovative Research Groups of the National Natural Science Foundation of China[61421004] ; Beijing Science and Technology Project[Z181100003118006] ; Youth Innovation Promotion Association CAS ; Early Career Development Award of SKLMCCS ; UCAS Joint PhD Training Program[UCAS[2015]37]
WOS研究方向Engineering ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000472530900021
出版者SPRINGER LONDON LTD
资助机构National Natural Science Foundation of China ; Foundation for Innovative Research Groups of the National Natural Science Foundation of China ; Beijing Science and Technology Project ; Youth Innovation Promotion Association CAS ; Early Career Development Award of SKLMCCS ; UCAS Joint PhD Training Program
源URL[http://ir.ia.ac.cn/handle/173211/26009]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
通讯作者Wang, Shuo
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Fraunhofer Inst Comp Graph Res, D-18059 Rostock, Germany
4.Univ Rostock, D-18051 Rostock, Germany
5.CAS Ctr Excellence Brain Sci & Intelligence Techn, Shanghai 200031, Peoples R China
推荐引用方式
GB/T 7714
Tang, Chong,von Lukas, Uwe Freiherr,Vahl, Matthias,et al. Efficient underwater image and video enhancement based on Retinex[J]. SIGNAL IMAGE AND VIDEO PROCESSING,2019,13(5):1011-1018.
APA Tang, Chong,von Lukas, Uwe Freiherr,Vahl, Matthias,Wang, Shuo,Wang, Yu,&Tan, Min.(2019).Efficient underwater image and video enhancement based on Retinex.SIGNAL IMAGE AND VIDEO PROCESSING,13(5),1011-1018.
MLA Tang, Chong,et al."Efficient underwater image and video enhancement based on Retinex".SIGNAL IMAGE AND VIDEO PROCESSING 13.5(2019):1011-1018.

入库方式: OAI收割

来源:自动化研究所

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