Comparison of dark channel prior and contrast limited histogram equalization for the enhancement of underwater fish image

Mohd Hanafi Ahmad Hijazi and Leong Jing Mei (2022) Comparison of dark channel prior and contrast limited histogram equalization for the enhancement of underwater fish image.

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Official URL: https://ieeexplore.ieee.org/document/9936796

Abstract

The application of artificial intelligence (AI) in aquaculture may improve the efficiency of fish farming management. Computer vision is one of the fields in AI beneficial for aquaculture. However, the underwater image quality is usually low due to light scattering through the water. Therefore, image enhancement is necessary before any further processing can be done. There are numerous image enhancement techniques for underwater images reported in the literature. In this paper, the comparison of the two most common image enhancement techniques for underwater images, the Dark Channel Prior (DCP) and Histogram Equalization (HE), is presented. The strength and weaknesses of each technique pertaining to the underwater images are also described

Item Type:	Proceedings
Keyword:	Underwater image enhancement; dark channel prior; contrast limited histogram equalization.
Subjects:	Q Science > Q Science (General) > Q1-390 Science (General) > Q300-390 Cybernetics T Technology > TR Photography > TR1-1050 Photography > TR590-620 Lighting
Department:	FACULTY > Faculty of Computing and Informatics
Depositing User:	ABDULLAH BIN SABUDIN -
Date Deposited:	05 Nov 2024 14:19
Last Modified:	05 Nov 2024 14:19
URI:	https://eprints.ums.edu.my/id/eprint/41737

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