Red and blue channels correction based on green channel and median-based dual-intensity images fusion for turbid underwater image quality enhancement

Kamil Zakwan, Mohd Azmi and Ahmad Shahrizan, Abdul Ghani and Zulkifli, Md. Yusof (2020) Red and blue channels correction based on green channel and median-based dual-intensity images fusion for turbid underwater image quality enhancement. In: Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019, NUSYS'19. Lecture Notes in Electrical Engineering, 666 (666). Springer, Singapore, pp. 73-86. ISBN 978-981-15-5280-9

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DOI/Official URL: https://doi.org/10.1007/978-981-15-5281-6_6

Abstract

One of the main problems encountered in processing the turbid underwater images is the effect of greenish color cast that overshadows the actual color of an object. This paper introduces a new technique which focuses on the enhancement of turbid underwater images. The proposed method integrates two major steps. The first step is specially designed to reduce the greenish color cast problem. The blue and red channels are improved according to the difference between these channels and the reference channel in terms of the total pixel values. Then, the median-based dual-intensity images fusion approach is applied to all color channels to improve the image contrast. Qualitative and quantitative evaluation is used to test the effectiveness of the proposed method. The results show that the proposed method is very effective in improving the visibility of the turbid underwater images.

Item Type:	Book Chapter
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Image Processing; Turbid Underwater Image; Contrast Stretching
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TR Photography T Technology > TS Manufactures
Faculty/Division:	Faculty of Manufacturing and Mechatronic Engineering Technology Institute of Postgraduate Studies
Depositing User:	Dr. Ahmad Shahrizan Abdul Ghani
Date Deposited:	30 Sep 2024 03:03
Last Modified:	30 Sep 2024 03:03
URI:	http://umpir.ump.edu.my/id/eprint/42582
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