CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 先进机器人
fficient underwater image and video enhancement based on Retinex
Tang,Chong1,2; Freiherr von Lukas, Uwe3,4; Vahl, Matthias3; Wang, Shuo1,2,5; Wang, Yu1; Tan, Min1
Source PublicationEfficient underwater image and video enhancement based on Retinex
2019-02
VolumenoneIssue:nonePages:none
Abstract

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.

KeywordUnderwater Video Processing Color Correction Contrast Improvement Retinex Msrcp
Indexed BySCIE
Language英语
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23549
Collection复杂系统管理与控制国家重点实验室_先进机器人
Corresponding AuthorWang, Shuo
Affiliation1.Institute of Automation, Chinese Academy of Sciences
2.University of Chinese Academy of Sciences
3.Fraunhofer Institute for Computer Graphics Research
4.University of Rostock
5.CAS Center for Excellence in Brain Science and Intelligence Technology
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,Freiherr von Lukas, Uwe,Vahl, Matthias,et al. fficient underwater image and video enhancement based on Retinex[J]. Efficient underwater image and video enhancement based on Retinex,2019,none(none):none.
APA Tang,Chong,Freiherr von Lukas, Uwe,Vahl, Matthias,Wang, Shuo,Wang, Yu,&Tan, Min.(2019).fficient underwater image and video enhancement based on Retinex.Efficient underwater image and video enhancement based on Retinex,none(none),none.
MLA Tang,Chong,et al."fficient underwater image and video enhancement based on Retinex".Efficient underwater image and video enhancement based on Retinex none.none(2019):none.
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