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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2022-01-01
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016821003690 |
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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 |
_version_ |
1721242149941411840 |