Natural-based underwater image color enhancement through fusion of swarm-intelligence algorithm

Underwater imagery suffers from severe effects due to selective attenuation and scattering effects when light travels through water medium. Such damages limit the ability of vision tasks and reduce image quality. There are a lot of enhancement methods to improve the quality of underwater image. Howe...

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Main Authors:	Kamil Zakwan, Mohd Azmi, Ahmad Shahrizan, Abdul Ghani, Zulkifli, Md. Yusof, Zuwairie, Ibrahim
Format:	Article
Language:	English
Published:	Elsevier 2019
Subjects:	QA76 Computer software TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/26347/ http://umpir.ump.edu.my/id/eprint/26347/ http://umpir.ump.edu.my/id/eprint/26347/ http://umpir.ump.edu.my/id/eprint/26347/1/Natural-based%20underwater%20image%20color%20enhancement%20through%20fusion%20.pdf

id	ump-26347
recordtype	eprints
spelling	ump-263472019-11-28T07:14:38Z http://umpir.ump.edu.my/id/eprint/26347/ Natural-based underwater image color enhancement through fusion of swarm-intelligence algorithm Kamil Zakwan, Mohd Azmi Ahmad Shahrizan, Abdul Ghani Zulkifli, Md. Yusof Zuwairie, Ibrahim QA76 Computer software TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics TS Manufactures Underwater imagery suffers from severe effects due to selective attenuation and scattering effects when light travels through water medium. Such damages limit the ability of vision tasks and reduce image quality. There are a lot of enhancement methods to improve the quality of underwater image. However, most of the methods produce distortion effects in the output images. The proposed natural-based underwater image color enhancement (NUCE) method consists of four steps. The first step introduces a new approach to neutralize underwater color cast. The inferior color channels are enhanced based on gain factors, which are calculated by considering the differences between the superior and inferior color channels. In the second step, the dual-intensity images fusion based on average of mean and median values is proposed to produce lower-stretched and upper-stretched histograms. The composition between these histograms improves the image contrast significantly. Next, the swarm-intelligence based mean equalization is proposed to improve the naturalness of the output image. Through the fusion of swarm intelligence algorithm, the mean values of inferior color channels are adjusted to be closed to the mean value of superior color channel. Lastly, the unsharp masking technique is applied to sharpen the overall image. Experiments on underwater images that are captured under various conditions indicate that the proposed NUCE method produces better output image quality, while significantly overcoming other state-of-the-art methods. Elsevier 2019-09-27 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26347/1/Natural-based%20underwater%20image%20color%20enhancement%20through%20fusion%20.pdf Kamil Zakwan, Mohd Azmi and Ahmad Shahrizan, Abdul Ghani and Zulkifli, Md. Yusof and Zuwairie, Ibrahim (2019) Natural-based underwater image color enhancement through fusion of swarm-intelligence algorithm. Applied Soft Computing, 85 (105810). pp. 1-19. ISSN 1568-4946 (print); 1872-9681 (online) https://doi.org/10.1016/j.asoc.2019.105810 https://doi.org/10.1016/j.asoc.2019.105810
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics TS Manufactures
spellingShingle	QA76 Computer software TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics TS Manufactures Kamil Zakwan, Mohd Azmi Ahmad Shahrizan, Abdul Ghani Zulkifli, Md. Yusof Zuwairie, Ibrahim Natural-based underwater image color enhancement through fusion of swarm-intelligence algorithm
description	Underwater imagery suffers from severe effects due to selective attenuation and scattering effects when light travels through water medium. Such damages limit the ability of vision tasks and reduce image quality. There are a lot of enhancement methods to improve the quality of underwater image. However, most of the methods produce distortion effects in the output images. The proposed natural-based underwater image color enhancement (NUCE) method consists of four steps. The first step introduces a new approach to neutralize underwater color cast. The inferior color channels are enhanced based on gain factors, which are calculated by considering the differences between the superior and inferior color channels. In the second step, the dual-intensity images fusion based on average of mean and median values is proposed to produce lower-stretched and upper-stretched histograms. The composition between these histograms improves the image contrast significantly. Next, the swarm-intelligence based mean equalization is proposed to improve the naturalness of the output image. Through the fusion of swarm intelligence algorithm, the mean values of inferior color channels are adjusted to be closed to the mean value of superior color channel. Lastly, the unsharp masking technique is applied to sharpen the overall image. Experiments on underwater images that are captured under various conditions indicate that the proposed NUCE method produces better output image quality, while significantly overcoming other state-of-the-art methods.
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	Natural-based underwater image color enhancement through fusion of swarm-intelligence algorithm
title_short	Natural-based underwater image color enhancement through fusion of swarm-intelligence algorithm
title_full	Natural-based underwater image color enhancement through fusion of swarm-intelligence algorithm
title_fullStr	Natural-based underwater image color enhancement through fusion of swarm-intelligence algorithm
title_full_unstemmed	Natural-based underwater image color enhancement through fusion of swarm-intelligence algorithm
title_sort	natural-based underwater image color enhancement through fusion of swarm-intelligence algorithm
publisher	Elsevier
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/26347/ http://umpir.ump.edu.my/id/eprint/26347/ http://umpir.ump.edu.my/id/eprint/26347/ http://umpir.ump.edu.my/id/eprint/26347/1/Natural-based%20underwater%20image%20color%20enhancement%20through%20fusion%20.pdf
first_indexed	2023-09-18T22:40:58Z
last_indexed	2023-09-18T22:40:58Z
_version_	1777416911887269888

Natural-based underwater image color enhancement through fusion of swarm-intelligence algorithm

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