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Deep underwater image enhancement through colour cast removal and optimization algorithm

Blue–green colour cast effect and low contrast are common problems suffered by deep underwater images. This paper introduces a new method which consists of two major steps: red channel correction based on green and blue channels (RCCGB), and simultaneous contrast stretching and mean pixel enhancemen...

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Main Authors: Kamil Zakwan, Mohd Azmi, Ahmad Shahrizan, Abdul Ghani, Zulkifli, Md. Yusof, Zuwairie, Ibrahim
Format: Article
Language:English
English
Published: Taylor & Francis 2019
Subjects:
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
TR Photography
ZA4050 Electronic information resources
Online Access:http://umpir.ump.edu.my/id/eprint/42579/1/2019%20-%20Deep%20underwater%20image%20enhancement%20through%20colour%20cast%20removal%20and%20optimization%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/42579/7/Deep%20underwater%20image%20enhancement%20through%20colour%20cast%20removal_ABST.pdf
http://umpir.ump.edu.my/id/eprint/42579/
https://doi.org/10.1080/13682199.2019.1660484
https://doi.org/10.1080/13682199.2019.1660484
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spelling my.ump.umpir.425792024-09-23T01:28:55Z http://umpir.ump.edu.my/id/eprint/42579/ Deep underwater image enhancement through colour cast removal and optimization algorithm Kamil Zakwan, Mohd Azmi Ahmad Shahrizan, Abdul Ghani Zulkifli, Md. Yusof Zuwairie, Ibrahim T Technology (General) TK Electrical engineering. Electronics Nuclear engineering TR Photography ZA4050 Electronic information resources Blue–green colour cast effect and low contrast are common problems suffered by deep underwater images. This paper introduces a new method which consists of two major steps: red channel correction based on green and blue channels (RCCGB), and simultaneous contrast stretching and mean pixel enhancement (SCSMPE). The RCCGB is designed to minimize the effect of blue–green illumination. This step considers the differences between the red channel and other channels in terms of total pixel values. The second major step, SCSMPE is specifically designed to perform contrast stretching and improve the mean pixel value simultaneously through particle swarm optimization (PSO). Based on the visual observation, the proposed method significantly reduces the effect of the blue–green colour cast and improves the image contrast. Furthermore, the average quantitative values for 300 underwater images also demonstrate the superiority of the proposed method. Taylor & Francis 2019-09-13 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42579/1/2019%20-%20Deep%20underwater%20image%20enhancement%20through%20colour%20cast%20removal%20and%20optimization%20algorithm.pdf pdf en http://umpir.ump.edu.my/id/eprint/42579/7/Deep%20underwater%20image%20enhancement%20through%20colour%20cast%20removal_ABST.pdf Kamil Zakwan, Mohd Azmi and Ahmad Shahrizan, Abdul Ghani and Zulkifli, Md. Yusof and Zuwairie, Ibrahim (2019) Deep underwater image enhancement through colour cast removal and optimization algorithm. The Imaging Science Journal, 67 (6). 330 -342. ISSN 1368-2199 (Printed); 1743-131X. (Published) https://doi.org/10.1080/13682199.2019.1660484 https://doi.org/10.1080/13682199.2019.1660484
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
TR Photography
ZA4050 Electronic information resources
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
TR Photography
ZA4050 Electronic information resources
Kamil Zakwan, Mohd Azmi
Ahmad Shahrizan, Abdul Ghani
Zulkifli, Md. Yusof
Zuwairie, Ibrahim
Deep underwater image enhancement through colour cast removal and optimization algorithm
description Blue–green colour cast effect and low contrast are common problems suffered by deep underwater images. This paper introduces a new method which consists of two major steps: red channel correction based on green and blue channels (RCCGB), and simultaneous contrast stretching and mean pixel enhancement (SCSMPE). The RCCGB is designed to minimize the effect of blue–green illumination. This step considers the differences between the red channel and other channels in terms of total pixel values. The second major step, SCSMPE is specifically designed to perform contrast stretching and improve the mean pixel value simultaneously through particle swarm optimization (PSO). Based on the visual observation, the proposed method significantly reduces the effect of the blue–green colour cast and improves the image contrast. Furthermore, the average quantitative values for 300 underwater images also demonstrate the superiority of the proposed method.
format Article
author Kamil Zakwan, Mohd Azmi
Ahmad Shahrizan, Abdul Ghani
Zulkifli, Md. Yusof
Zuwairie, Ibrahim
author_facet Kamil Zakwan, Mohd Azmi
Ahmad Shahrizan, Abdul Ghani
Zulkifli, Md. Yusof
Zuwairie, Ibrahim
author_sort Kamil Zakwan, Mohd Azmi
title Deep underwater image enhancement through colour cast removal and optimization algorithm
title_short Deep underwater image enhancement through colour cast removal and optimization algorithm
title_full Deep underwater image enhancement through colour cast removal and optimization algorithm
title_fullStr Deep underwater image enhancement through colour cast removal and optimization algorithm
title_full_unstemmed Deep underwater image enhancement through colour cast removal and optimization algorithm
title_sort deep underwater image enhancement through colour cast removal and optimization algorithm
publisher Taylor & Francis
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/42579/1/2019%20-%20Deep%20underwater%20image%20enhancement%20through%20colour%20cast%20removal%20and%20optimization%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/42579/7/Deep%20underwater%20image%20enhancement%20through%20colour%20cast%20removal_ABST.pdf
http://umpir.ump.edu.my/id/eprint/42579/
https://doi.org/10.1080/13682199.2019.1660484
https://doi.org/10.1080/13682199.2019.1660484
_version_ 1822924660681998336
score 13.244413

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