Deep underwater image enhancement through integration of red color correction based on blue color channel and global contrast stretching

Kamil Zakwan, Mohd Azmi and Ahmad Shahrizan, Abdul Ghani and Zulkifli, Md. Yusof and Zuwairie, Ibrahim (2018) Deep underwater image enhancement through integration of red color correction based on blue color channel and global contrast stretching. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018. Lecture Notes in Electrical Engineering, 538 (9). Springer Singapore, Singapore, pp. 35-44. ISBN 978-981-13-3708-6

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DOI/Official URL: https://link.springer.com/chapter/10.1007/978-981-...

Abstract

Deep underwater images experience some complicated problems, such as low contrast and blue-green illumination effect due to light attenuation in water medium. These problems reduce the extraction rate of valuable infor-mation from the image. This paper proposes a new method of enhancing un-derwater image. The proposed method consists of two major steps. The first step is explicitly designed to minimize the effect of blue-green illumination. This technique operates by correcting the red color channel by taking into ac-count the differences between the red color with blue color in term of total pixel value. The more significant the difference of total pixel value between these colors, the higher the pixel value will be added to improve the red color and vice versa. Then, the overall image contrast is improved through global contrast stretching technique that is applied to all color channels. Qualitative and quanti-tative evaluations prove the effectiveness of the proposed method.

Item Type:	Book Chapter
Additional Information:	Indexed by Springer
Uncontrolled Keywords:	Image processing; Red color correction; Contrast stretching
Subjects:	Q Science > Q Science (General) S Agriculture > S Agriculture (General) T Technology > TC Hydraulic engineering. Ocean engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Manufacturing Engineering
Depositing User:	Dr. Ahmad Shahrizan Abdul Ghani
Date Deposited:	11 Dec 2018 03:16
Last Modified:	17 May 2019 02:58
URI:	http://umpir.ump.edu.my/id/eprint/22418
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