CASIA OpenIR  > 先进机器人控制团队
Efficient underwater image and video enhancement based on Retinex
Tang, Chong1,2; von Lukas, Uwe Freiherr3,4; Vahl, Matthias3; Wang, Shuo1,2,5; Wang, Yu1; Tan, Min1
Source PublicationSIGNAL IMAGE AND VIDEO PROCESSING
ISSN1863-1703
2019-07-01
Volume13Issue:5Pages:1011-1018
Corresponding AuthorWang, Shuo(shuo.wang@ia.ac.cn)
AbstractThe 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.
KeywordUnderwater video processing Color correction Contrast improvement Retinex MSRCP
DOI10.1007/s11760-019-01439-y
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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
WOS Research AreaEngineering ; Imaging Science & Photographic Technology
WOS SubjectEngineering, Electrical & Electronic ; Imaging Science & Photographic Technology
WOS IDWOS:000472530900021
PublisherSPRINGER LONDON LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/26010
Collection先进机器人控制团队
Corresponding AuthorWang, Shuo
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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.
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