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Underwater image contrast enhancement through an intensity-randomised approach incorporating a swarm intelligence technique with unsupervised dual-step fusion

Analysing objects in an underwater medium is difficult due to light problems in such an environment. Low contrast and visibility in water medium result in restricted information extraction. Some previous methods inadequately reduce underwater colour cast and improve the image contrast minimally. Thi...

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Main Authors: Mohd Azmi, Kamil Zakwan, Abdul Ghani, Ahmad Shahrizan, Md Yusof, Zulkifli, Mohammad-Noor, Normawaty, Ismail, Hasnun Nita, Abu, Mohd Yazid
Format: Article
Language:English
Published: Taylor & Francis 2023
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
TR Photography
Online Access:http://umpir.ump.edu.my/id/eprint/39883/1/2023%20Underwater%20image%20contrast%20enhancement%20through%20an%20intensity-randomised%20approach%20incorporating%20a.pdf
http://umpir.ump.edu.my/id/eprint/39883/
https://doi.org/10.1080/19479832.2023.2289490
https://doi.org/10.1080/19479832.2023.2289490
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spelling my.ump.umpir.398832024-01-10T04:24:57Z http://umpir.ump.edu.my/id/eprint/39883/ Underwater image contrast enhancement through an intensity-randomised approach incorporating a swarm intelligence technique with unsupervised dual-step fusion Mohd Azmi, Kamil Zakwan Abdul Ghani, Ahmad Shahrizan Md Yusof, Zulkifli Mohammad-Noor, Normawaty Ismail, Hasnun Nita Abu, Mohd Yazid TK Electrical engineering. Electronics Nuclear engineering TR Photography Analysing objects in an underwater medium is difficult due to light problems in such an environment. Low contrast and visibility in water medium result in restricted information extraction. Some previous methods inadequately reduce underwater colour cast and improve the image contrast minimally. This work proposes intensity-randomised underwater image contrast enhancement (IRUCE), an improved enhancement method that integrates an unsupervised dual-step fusion technique to reduce blue-green colour cast, improve contrast, and enhance image brightness, especially in turbid and deep underwater media. IRUCE enhances the inferior colour channels and moderates the dominant colour channel to reduce the colour cast before the intensity-randomised approach is implemented. The intensity-randomised approach is designed to effectively distribute image intensity across all intensity levels. Next, a swarm intelligence algorithm is fused to perform median equalisation on all colour channels. The median intensity values of inferior colour channels are shifted towards the dominant colour channel. The unsharp masking technique is employed in the last step to increase image sharpness. The effectiveness of this approach is validated through quantitative and qualitative evaluations, and the results are compared with those of other state-of-the-art methods. Outcomes indicate that the proposed method improves underwater image quality significantly and outperforms other contemporary techniques. Taylor & Francis 2023-12-06 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39883/1/2023%20Underwater%20image%20contrast%20enhancement%20through%20an%20intensity-randomised%20approach%20incorporating%20a.pdf Mohd Azmi, Kamil Zakwan and Abdul Ghani, Ahmad Shahrizan and Md Yusof, Zulkifli and Mohammad-Noor, Normawaty and Ismail, Hasnun Nita and Abu, Mohd Yazid (2023) Underwater image contrast enhancement through an intensity-randomised approach incorporating a swarm intelligence technique with unsupervised dual-step fusion. International Journal of Image and Data Fusion. pp. 1-36. ISSN 1947-9824. (In Press / Online First) (In Press / Online First) https://doi.org/10.1080/19479832.2023.2289490 https://doi.org/10.1080/19479832.2023.2289490
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
topic TK Electrical engineering. Electronics Nuclear engineering
TR Photography
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
TR Photography
Mohd Azmi, Kamil Zakwan
Abdul Ghani, Ahmad Shahrizan
Md Yusof, Zulkifli
Mohammad-Noor, Normawaty
Ismail, Hasnun Nita
Abu, Mohd Yazid
Underwater image contrast enhancement through an intensity-randomised approach incorporating a swarm intelligence technique with unsupervised dual-step fusion
description Analysing objects in an underwater medium is difficult due to light problems in such an environment. Low contrast and visibility in water medium result in restricted information extraction. Some previous methods inadequately reduce underwater colour cast and improve the image contrast minimally. This work proposes intensity-randomised underwater image contrast enhancement (IRUCE), an improved enhancement method that integrates an unsupervised dual-step fusion technique to reduce blue-green colour cast, improve contrast, and enhance image brightness, especially in turbid and deep underwater media. IRUCE enhances the inferior colour channels and moderates the dominant colour channel to reduce the colour cast before the intensity-randomised approach is implemented. The intensity-randomised approach is designed to effectively distribute image intensity across all intensity levels. Next, a swarm intelligence algorithm is fused to perform median equalisation on all colour channels. The median intensity values of inferior colour channels are shifted towards the dominant colour channel. The unsharp masking technique is employed in the last step to increase image sharpness. The effectiveness of this approach is validated through quantitative and qualitative evaluations, and the results are compared with those of other state-of-the-art methods. Outcomes indicate that the proposed method improves underwater image quality significantly and outperforms other contemporary techniques.
format Article
author Mohd Azmi, Kamil Zakwan
Abdul Ghani, Ahmad Shahrizan
Md Yusof, Zulkifli
Mohammad-Noor, Normawaty
Ismail, Hasnun Nita
Abu, Mohd Yazid
author_facet Mohd Azmi, Kamil Zakwan
Abdul Ghani, Ahmad Shahrizan
Md Yusof, Zulkifli
Mohammad-Noor, Normawaty
Ismail, Hasnun Nita
Abu, Mohd Yazid
author_sort Mohd Azmi, Kamil Zakwan
title Underwater image contrast enhancement through an intensity-randomised approach incorporating a swarm intelligence technique with unsupervised dual-step fusion
title_short Underwater image contrast enhancement through an intensity-randomised approach incorporating a swarm intelligence technique with unsupervised dual-step fusion
title_full Underwater image contrast enhancement through an intensity-randomised approach incorporating a swarm intelligence technique with unsupervised dual-step fusion
title_fullStr Underwater image contrast enhancement through an intensity-randomised approach incorporating a swarm intelligence technique with unsupervised dual-step fusion
title_full_unstemmed Underwater image contrast enhancement through an intensity-randomised approach incorporating a swarm intelligence technique with unsupervised dual-step fusion
title_sort underwater image contrast enhancement through an intensity-randomised approach incorporating a swarm intelligence technique with unsupervised dual-step fusion
publisher Taylor & Francis
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/39883/1/2023%20Underwater%20image%20contrast%20enhancement%20through%20an%20intensity-randomised%20approach%20incorporating%20a.pdf
http://umpir.ump.edu.my/id/eprint/39883/
https://doi.org/10.1080/19479832.2023.2289490
https://doi.org/10.1080/19479832.2023.2289490
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score 13.244413

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