Syafiq Qhushairy, Syamsul Amri and Ahmad Shahrizan, Abdul Ghani and Mohd Aiman Syahmi, Kamarul Baharin and Mohd Yazid, Abu and Fusaomi, Nagata (2023) Improving images in turbid water through enhanced color correction and particle swarm-intelligence fusion (CCPF). Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 5 (1). pp. 18-35. ISSN 2637-0883. (Published)
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Abstract
When light travels through a water medium, selective attenuation and scattering have a profound impact on the underwater image. These limitations reduce image quality and impede the ability to perform visual tasks. The suggested integrated color correction with intelligence fusion of particle swarm technique (CCPF) is designed with four phases. The first phase presents a novel way to make improvement on underwater color cast. Limit the improvement to only red color channel. In the second phase, an image is then neutralized from the original image by brightness reconstruction technique resulting in enhancing the image contrast. Next, the mean adjustment based on particle swarm intelligence is implemented to improve the image detail. With the swarm intelligence method, the mean values of inferior color channels are shifted to be close to the mean value of a good color channel. Lastly, a fusion between the brightness reconstructed histogram and modified mean particle swarm intelligence histogram is applied to balance the image color. Analysis of underwater images taken in different depths shows that the proposed CCPF method improves the quality of the output image in terms of neutralizing effectiveness and details accuracy, consequently, significantly outperforming the other state-of-the-art methods. The proposed CCPF approach produces highest average entropy value of 7.823 and average UIQM value of 6.287.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Color correction; White balance; Image matching; Contrast adjustment; Particle swarm intelligence |
| Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TS Manufactures |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Manufacturing and Mechatronic Engineering Technology |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 10 Jul 2023 03:15 |
| Last Modified: | 10 Jul 2023 03:15 |
| URI: | http://umpir.ump.edu.my/id/eprint/37981 |
| Download Statistic: | View Download Statistics |
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