Visibility enhancement of underwater images based on active polarized illumination and average filtering technology

Underwater imaging is a crucial and challenging problem. The backscattering caused by particles in turbid water can severely degrade the image. In this paper, A novel image dehazing method is devised, which combines optics with image processing technology. This method can directly remove part of the...

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Main Authors: Tianci Li, Jianli Wang, Kainan Yao
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Alexandria Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016821003690
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spelling doaj-688012e0cf6543e5a7ffb8df50c344b62021-08-02T04:39:07ZengElsevierAlexandria Engineering Journal1110-01682022-01-01611701708Visibility enhancement of underwater images based on active polarized illumination and average filtering technologyTianci Li0Jianli Wang1Kainan Yao2Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China; Corresponding author at: Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.Underwater imaging is a crucial and challenging problem. The backscattering caused by particles in turbid water can severely degrade the image. In this paper, A novel image dehazing method is devised, which combines optics with image processing technology. This method can directly remove part of the backscattering through polarization technology, and then quickly solve the dehazing image through our algorithm. Experimental results show that our method is valid and robust for targets of diverse materials, grayscale images and color images in diverse scattering environments. Furthermore, our method takes only 2 percent of the time of the fast dark channel prior (DCP) method when processing 1 K resolution images, which meets the requirements of real-time.http://www.sciencedirect.com/science/article/pii/S1110016821003690Polarized illuminationDehazingAverage filtering
collection DOAJ
language English
format Article
sources DOAJ
author Tianci Li
Jianli Wang
Kainan Yao
spellingShingle Tianci Li
Jianli Wang
Kainan Yao
Visibility enhancement of underwater images based on active polarized illumination and average filtering technology
Alexandria Engineering Journal
Polarized illumination
Dehazing
Average filtering
author_facet Tianci Li
Jianli Wang
Kainan Yao
author_sort Tianci Li
title Visibility enhancement of underwater images based on active polarized illumination and average filtering technology
title_short Visibility enhancement of underwater images based on active polarized illumination and average filtering technology
title_full Visibility enhancement of underwater images based on active polarized illumination and average filtering technology
title_fullStr Visibility enhancement of underwater images based on active polarized illumination and average filtering technology
title_full_unstemmed Visibility enhancement of underwater images based on active polarized illumination and average filtering technology
title_sort visibility enhancement of underwater images based on active polarized illumination and average filtering technology
publisher Elsevier
series Alexandria Engineering Journal
issn 1110-0168
publishDate 2022-01-01
description Underwater imaging is a crucial and challenging problem. The backscattering caused by particles in turbid water can severely degrade the image. In this paper, A novel image dehazing method is devised, which combines optics with image processing technology. This method can directly remove part of the backscattering through polarization technology, and then quickly solve the dehazing image through our algorithm. Experimental results show that our method is valid and robust for targets of diverse materials, grayscale images and color images in diverse scattering environments. Furthermore, our method takes only 2 percent of the time of the fast dark channel prior (DCP) method when processing 1 K resolution images, which meets the requirements of real-time.
topic Polarized illumination
Dehazing
Average filtering
url http://www.sciencedirect.com/science/article/pii/S1110016821003690
work_keys_str_mv AT tiancili visibilityenhancementofunderwaterimagesbasedonactivepolarizedilluminationandaveragefilteringtechnology
AT jianliwang visibilityenhancementofunderwaterimagesbasedonactivepolarizedilluminationandaveragefilteringtechnology
AT kainanyao visibilityenhancementofunderwaterimagesbasedonactivepolarizedilluminationandaveragefilteringtechnology
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