Restoration and Enhancement of Underwater Images Based on Bright Channel Prior

Restoration and Enhancement of Underwater Images Based on Bright Channel Prior

This paper proposed a new method of underwater images restoration and enhancement which was inspired by the dark channel prior in image dehazing field. Firstly, we proposed the bright channel prior of underwater environment. By estimating and rectifying the bright channel image, estimating the atmos...

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Main Authors: Yakun Gao, Haibin Li, Shuhuan Wen
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2016/3141478
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spelling doaj-5ed79bb47fb14a4493b4b7b47dd04e782020-11-24T23:45:12ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472016-01-01201610.1155/2016/31414783141478Restoration and Enhancement of Underwater Images Based on Bright Channel PriorYakun Gao0Haibin Li1Shuhuan Wen2School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, ChinaSchool of Electrical Engineering, Yanshan University, Qinhuangdao 066004, ChinaSchool of Electrical Engineering, Yanshan University, Qinhuangdao 066004, ChinaThis paper proposed a new method of underwater images restoration and enhancement which was inspired by the dark channel prior in image dehazing field. Firstly, we proposed the bright channel prior of underwater environment. By estimating and rectifying the bright channel image, estimating the atmospheric light, and estimating and refining the transmittance image, eventually underwater images were restored. Secondly, in order to rectify the color distortion, the restoration images were equalized by using the deduced histogram equalization. The experiment results showed that the proposed method could enhance the quality of underwater images effectively.http://dx.doi.org/10.1155/2016/3141478
collection DOAJ
language English
format Article
sources DOAJ
author Yakun Gao
Haibin Li
Shuhuan Wen
spellingShingle Yakun Gao
Haibin Li
Shuhuan Wen
Restoration and Enhancement of Underwater Images Based on Bright Channel Prior
Mathematical Problems in Engineering
author_facet Yakun Gao
Haibin Li
Shuhuan Wen
author_sort Yakun Gao
title Restoration and Enhancement of Underwater Images Based on Bright Channel Prior
title_short Restoration and Enhancement of Underwater Images Based on Bright Channel Prior
title_full Restoration and Enhancement of Underwater Images Based on Bright Channel Prior
title_fullStr Restoration and Enhancement of Underwater Images Based on Bright Channel Prior
title_full_unstemmed Restoration and Enhancement of Underwater Images Based on Bright Channel Prior
title_sort restoration and enhancement of underwater images based on bright channel prior
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2016-01-01
description This paper proposed a new method of underwater images restoration and enhancement which was inspired by the dark channel prior in image dehazing field. Firstly, we proposed the bright channel prior of underwater environment. By estimating and rectifying the bright channel image, estimating the atmospheric light, and estimating and refining the transmittance image, eventually underwater images were restored. Secondly, in order to rectify the color distortion, the restoration images were equalized by using the deduced histogram equalization. The experiment results showed that the proposed method could enhance the quality of underwater images effectively.
url http://dx.doi.org/10.1155/2016/3141478
work_keys_str_mv AT yakungao restorationandenhancementofunderwaterimagesbasedonbrightchannelprior
AT haibinli restorationandenhancementofunderwaterimagesbasedonbrightchannelprior
AT shuhuanwen restorationandenhancementofunderwaterimagesbasedonbrightchannelprior
_version_ 1725496807952220160

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