Deep underwater image enhancement through colour cast removal and optimization algorithm

Kamil Zakwan, Mohd Azmi and Ahmad Shahrizan, Abdul Ghani and Zulkifli, Md. Yusof and Zuwairie, Ibrahim (2019) Deep underwater image enhancement through colour cast removal and optimization algorithm. The Imaging Science Journal, 67 (6). 330 -342. ISSN 1368-2199 (Printed); 1743-131X. (Published)

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DOI/Official URL: https://doi.org/10.1080/13682199.2019.1660484

Abstract

Blue–green colour cast effect and low contrast are common problems suffered by deep underwater images. This paper introduces a new method which consists of two major steps: red channel correction based on green and blue channels (RCCGB), and simultaneous contrast stretching and mean pixel enhancement (SCSMPE). The RCCGB is designed to minimize the effect of blue–green illumination. This step considers the differences between the red channel and other channels in terms of total pixel values. The second major step, SCSMPE is specifically designed to perform contrast stretching and improve the mean pixel value simultaneously through particle swarm optimization (PSO). Based on the visual observation, the proposed method significantly reduces the effect of the blue–green colour cast and improves the image contrast. Furthermore, the average quantitative values for 300 underwater images also demonstrate the superiority of the proposed method.

Item Type:	Article
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Blue–green colour cast; Colour correction; Contrast stretching; Particle swarm optimization; Underwater image processing
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TR Photography Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Faculty/Division:	Faculty of Manufacturing and Mechatronic Engineering Technology Institute of Postgraduate Studies
Depositing User:	Dr. Ahmad Shahrizan Abdul Ghani
Date Deposited:	23 Sep 2024 01:28
Last Modified:	23 Sep 2024 01:28
URI:	http://umpir.ump.edu.my/id/eprint/42579
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