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The Color Improvement of Underwater Images Based on Light Source and Detector

As one of the most direct approaches to perceive the world, optical images can provide plenty of useful information for underwater applications. However, underwater images often present color deviation due to the light attenuation in the water, which reduces the efficiency and accuracy in underwater...

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Autores principales: Quan, Xiangqian, Wei, Yucong, Li, Bo, Liu, Kaibin, Li, Chen, Zhang, Bing, Yang, Jingchuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781608/
https://www.ncbi.nlm.nih.gov/pubmed/35062657
http://dx.doi.org/10.3390/s22020692
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author Quan, Xiangqian
Wei, Yucong
Li, Bo
Liu, Kaibin
Li, Chen
Zhang, Bing
Yang, Jingchuan
author_facet Quan, Xiangqian
Wei, Yucong
Li, Bo
Liu, Kaibin
Li, Chen
Zhang, Bing
Yang, Jingchuan
author_sort Quan, Xiangqian
collection PubMed
description As one of the most direct approaches to perceive the world, optical images can provide plenty of useful information for underwater applications. However, underwater images often present color deviation due to the light attenuation in the water, which reduces the efficiency and accuracy in underwater applications. To improve the color reproduction of underwater images, we proposed a method with adjusting the spectral component of the light source and the spectral response of the detector. Then, we built the experimental setup to study the color deviation of underwater images with different lamps and different cameras. The experimental results showed that, a) in terms of light source, the color deviation of an underwater image with warm light LED (Light Emitting Diode) (with the value of [Formula: see text] being 26.58) was the smallest compared with other lamps, b) in terms of detectors, the color deviation of images with the 3×CMOS RGB camera (a novel underwater camera with three CMOS sensors developed for suppressing the color deviation in our team) (with the value of [Formula: see text] being 25.25) was the smallest compared with other cameras. The experimental result (i.e., the result of color improvement between different lamps or between different cameras) verified our assumption that the underwater image color could be improved by adjusting the spectral component of the light source and the spectral response of the detector. Differing from the color improvement method with image processing, this color-improvement method was based on hardware, which had advantages, including more image information being retained and less-time being consumed.
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spelling pubmed-87816082022-01-22 The Color Improvement of Underwater Images Based on Light Source and Detector Quan, Xiangqian Wei, Yucong Li, Bo Liu, Kaibin Li, Chen Zhang, Bing Yang, Jingchuan Sensors (Basel) Communication As one of the most direct approaches to perceive the world, optical images can provide plenty of useful information for underwater applications. However, underwater images often present color deviation due to the light attenuation in the water, which reduces the efficiency and accuracy in underwater applications. To improve the color reproduction of underwater images, we proposed a method with adjusting the spectral component of the light source and the spectral response of the detector. Then, we built the experimental setup to study the color deviation of underwater images with different lamps and different cameras. The experimental results showed that, a) in terms of light source, the color deviation of an underwater image with warm light LED (Light Emitting Diode) (with the value of [Formula: see text] being 26.58) was the smallest compared with other lamps, b) in terms of detectors, the color deviation of images with the 3×CMOS RGB camera (a novel underwater camera with three CMOS sensors developed for suppressing the color deviation in our team) (with the value of [Formula: see text] being 25.25) was the smallest compared with other cameras. The experimental result (i.e., the result of color improvement between different lamps or between different cameras) verified our assumption that the underwater image color could be improved by adjusting the spectral component of the light source and the spectral response of the detector. Differing from the color improvement method with image processing, this color-improvement method was based on hardware, which had advantages, including more image information being retained and less-time being consumed. MDPI 2022-01-17 /pmc/articles/PMC8781608/ /pubmed/35062657 http://dx.doi.org/10.3390/s22020692 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Quan, Xiangqian
Wei, Yucong
Li, Bo
Liu, Kaibin
Li, Chen
Zhang, Bing
Yang, Jingchuan
The Color Improvement of Underwater Images Based on Light Source and Detector
title The Color Improvement of Underwater Images Based on Light Source and Detector
title_full The Color Improvement of Underwater Images Based on Light Source and Detector
title_fullStr The Color Improvement of Underwater Images Based on Light Source and Detector
title_full_unstemmed The Color Improvement of Underwater Images Based on Light Source and Detector
title_short The Color Improvement of Underwater Images Based on Light Source and Detector
title_sort color improvement of underwater images based on light source and detector
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781608/
https://www.ncbi.nlm.nih.gov/pubmed/35062657
http://dx.doi.org/10.3390/s22020692
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