Low-Light Underwater Image Enhancement for Deep-Sea Tripod

To monitor the sedimentary process and morphological evolution in the South China Sea, free-ascending deep-sea tripod (FDT) has been developed. This FDT was equipped with a deep-sea camera and landed on the sea floor at a depth of 2100 m. Although the FDT was equipped with an artificial light, the b...

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Main Authors: Yujie Li, Jianru Li, Yun Li, Hyoungseop Kim, Seiichi Serikawa
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8684941/
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spelling doaj-379c6b30874b4ac2a26c0e78afd829ac2021-03-29T22:13:44ZengIEEEIEEE Access2169-35362019-01-017440804408610.1109/ACCESS.2019.28976918684941Low-Light Underwater Image Enhancement for Deep-Sea TripodYujie Li0https://orcid.org/0000-0002-0275-2797Jianru Li1Yun Li2Hyoungseop Kim3Seiichi Serikawa4School of Information Engineering, Yangzhou University, Yangzhou, ChinaState Key Laboratory on Marine Geology, Tongji University, Shanghai, ChinaSchool of Information Engineering, Yangzhou University, Yangzhou, ChinaSchool of Engineering, Kyushu Institute of Technology, Kitakyushu, JapanSchool of Engineering, Kyushu Institute of Technology, Kitakyushu, JapanTo monitor the sedimentary process and morphological evolution in the South China Sea, free-ascending deep-sea tripod (FDT) has been developed. This FDT was equipped with a deep-sea camera and landed on the sea floor at a depth of 2100 m. Although the FDT was equipped with an artificial light, the battery capacity limited the duration and intensity of light. Therefore, enhancing such low-illumination images to obtain clear visual effects is an important advancement for analyzing the geological evolution process. In this paper, an adaptive bright-color channel-based low-light underwater image-enhancement method and a denoising method are proposed to enhance such images and remove noise and artifacts. The experimental results demonstrated that the proposed method outperformed state-of-the-art methods.https://ieeexplore.ieee.org/document/8684941/Image enhancementunderwater imaginglow lightingdeep-sea
collection DOAJ
language English
format Article
sources DOAJ
author Yujie Li
Jianru Li
Yun Li
Hyoungseop Kim
Seiichi Serikawa
spellingShingle Yujie Li
Jianru Li
Yun Li
Hyoungseop Kim
Seiichi Serikawa
Low-Light Underwater Image Enhancement for Deep-Sea Tripod
IEEE Access
Image enhancement
underwater imaging
low lighting
deep-sea
author_facet Yujie Li
Jianru Li
Yun Li
Hyoungseop Kim
Seiichi Serikawa
author_sort Yujie Li
title Low-Light Underwater Image Enhancement for Deep-Sea Tripod
title_short Low-Light Underwater Image Enhancement for Deep-Sea Tripod
title_full Low-Light Underwater Image Enhancement for Deep-Sea Tripod
title_fullStr Low-Light Underwater Image Enhancement for Deep-Sea Tripod
title_full_unstemmed Low-Light Underwater Image Enhancement for Deep-Sea Tripod
title_sort low-light underwater image enhancement for deep-sea tripod
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description To monitor the sedimentary process and morphological evolution in the South China Sea, free-ascending deep-sea tripod (FDT) has been developed. This FDT was equipped with a deep-sea camera and landed on the sea floor at a depth of 2100 m. Although the FDT was equipped with an artificial light, the battery capacity limited the duration and intensity of light. Therefore, enhancing such low-illumination images to obtain clear visual effects is an important advancement for analyzing the geological evolution process. In this paper, an adaptive bright-color channel-based low-light underwater image-enhancement method and a denoising method are proposed to enhance such images and remove noise and artifacts. The experimental results demonstrated that the proposed method outperformed state-of-the-art methods.
topic Image enhancement
underwater imaging
low lighting
deep-sea
url https://ieeexplore.ieee.org/document/8684941/
work_keys_str_mv AT yujieli lowlightunderwaterimageenhancementfordeepseatripod
AT jianruli lowlightunderwaterimageenhancementfordeepseatripod
AT yunli lowlightunderwaterimageenhancementfordeepseatripod
AT hyoungseopkim lowlightunderwaterimageenhancementfordeepseatripod
AT seiichiserikawa lowlightunderwaterimageenhancementfordeepseatripod
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