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)
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Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Image enhancement; PSO; swarm-intelligence; underwater imaging; underwater colour cast |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TR Photography |
| Faculty/Division: | Faculty of Manufacturing and Mechatronic Engineering Technology Institute of Postgraduate Studies |
| Depositing User: | Dr. Ahmad Shahrizan Abdul Ghani |
| Date Deposited: | 10 Jan 2024 04:24 |
| Last Modified: | 10 Jan 2024 04:24 |
| URI: | http://umpir.ump.edu.my/id/eprint/39883 |
| Download Statistic: | View Download Statistics |
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