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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-8781608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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