Image contrast enhancement using an integration of recursive-overlapped contrast limited adaptive histogram specification and dual-image wavelet fusion for the high visibility of deep underwater image

Deep underwater images suffer from several problems, such as low contrast and visibility, which reduce the extraction rate of valuable information from the image. In this paper, we proposed an approach which integrates the three main steps of homomorphic filtering, recursive-overlapped CLAHS and dua...

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Main Author:	Ahmad Shahrizan, Abdul Ghani
Format:	Article
Language:	English
Published:	Elsevier Ltd 2018
Subjects:	T Technology (General) TC Hydraulic engineering. Ocean engineering TK Electrical engineering. Electronics Nuclear engineering TR Photography
Online Access:	http://umpir.ump.edu.my/id/eprint/21272/ http://umpir.ump.edu.my/id/eprint/21272/ http://umpir.ump.edu.my/id/eprint/21272/ http://umpir.ump.edu.my/id/eprint/21272/1/Image%20contrast%20enhancement%20using%20an%20integration%20of%20recursive-overlapped%20contrast%20limited%20adaptive%20histogram.pdf

id	ump-21272
recordtype	eprints
spelling	ump-212722018-08-29T07:53:44Z http://umpir.ump.edu.my/id/eprint/21272/ Image contrast enhancement using an integration of recursive-overlapped contrast limited adaptive histogram specification and dual-image wavelet fusion for the high visibility of deep underwater image Ahmad Shahrizan, Abdul Ghani T Technology (General) TC Hydraulic engineering. Ocean engineering TK Electrical engineering. Electronics Nuclear engineering TR Photography Deep underwater images suffer from several problems, such as low contrast and visibility, which reduce the extraction rate of valuable information from the image. In this paper, we proposed an approach which integrates the three main steps of homomorphic filtering, recursive-overlapped CLAHS and dual-image wavelet fusion and thus increases the visibility of deep underwater images and the extraction rate of important data. Additionally, this approach implements homomorphic filtering to provide homogeneity in the illumination of the entire image which will be used for subsequent processes. Recursive-overlapped CLAHS refers to the recursive process of overlapped tiles of divided image channel, where half of a tile is processed twice with an adjacent tile. Half of the tile is overlapped with its next adjacent tile. Dual-image wavelet fusion merging two images obtained from the integration of upper- and lower-stretched histograms are applied with discrete wavelet transformation before the main process of wavelet fusion is implemented. Qualitative and quantitative results reveal that the proposed method outperforms the current state-of-the-art methods. The highest value of average quantitative evaluations in terms of entropy, average gradient, measure of enhancement (EME) and EME by entropy are 7.835, 12.802, 8.343 and 27.616, respectively, in the proposed method. Elsevier Ltd 2018-08-29 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21272/1/Image%20contrast%20enhancement%20using%20an%20integration%20of%20recursive-overlapped%20contrast%20limited%20adaptive%20histogram.pdf Ahmad Shahrizan, Abdul Ghani (2018) Image contrast enhancement using an integration of recursive-overlapped contrast limited adaptive histogram specification and dual-image wavelet fusion for the high visibility of deep underwater image. Ocean Engineering, 162. pp. 224-238. ISSN 0029-8018 https://doi.org/10.1016/j.oceaneng.2018.05.027 10.1016/j.oceaneng.2018.05.027
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	T Technology (General) TC Hydraulic engineering. Ocean engineering TK Electrical engineering. Electronics Nuclear engineering TR Photography
spellingShingle	T Technology (General) TC Hydraulic engineering. Ocean engineering TK Electrical engineering. Electronics Nuclear engineering TR Photography Ahmad Shahrizan, Abdul Ghani Image contrast enhancement using an integration of recursive-overlapped contrast limited adaptive histogram specification and dual-image wavelet fusion for the high visibility of deep underwater image
description	Deep underwater images suffer from several problems, such as low contrast and visibility, which reduce the extraction rate of valuable information from the image. In this paper, we proposed an approach which integrates the three main steps of homomorphic filtering, recursive-overlapped CLAHS and dual-image wavelet fusion and thus increases the visibility of deep underwater images and the extraction rate of important data. Additionally, this approach implements homomorphic filtering to provide homogeneity in the illumination of the entire image which will be used for subsequent processes. Recursive-overlapped CLAHS refers to the recursive process of overlapped tiles of divided image channel, where half of a tile is processed twice with an adjacent tile. Half of the tile is overlapped with its next adjacent tile. Dual-image wavelet fusion merging two images obtained from the integration of upper- and lower-stretched histograms are applied with discrete wavelet transformation before the main process of wavelet fusion is implemented. Qualitative and quantitative results reveal that the proposed method outperforms the current state-of-the-art methods. The highest value of average quantitative evaluations in terms of entropy, average gradient, measure of enhancement (EME) and EME by entropy are 7.835, 12.802, 8.343 and 27.616, respectively, in the proposed method.
format	Article
author	Ahmad Shahrizan, Abdul Ghani
author_facet	Ahmad Shahrizan, Abdul Ghani
author_sort	Ahmad Shahrizan, Abdul Ghani
title	Image contrast enhancement using an integration of recursive-overlapped contrast limited adaptive histogram specification and dual-image wavelet fusion for the high visibility of deep underwater image
title_short	Image contrast enhancement using an integration of recursive-overlapped contrast limited adaptive histogram specification and dual-image wavelet fusion for the high visibility of deep underwater image
title_full	Image contrast enhancement using an integration of recursive-overlapped contrast limited adaptive histogram specification and dual-image wavelet fusion for the high visibility of deep underwater image
title_fullStr	Image contrast enhancement using an integration of recursive-overlapped contrast limited adaptive histogram specification and dual-image wavelet fusion for the high visibility of deep underwater image
title_full_unstemmed	Image contrast enhancement using an integration of recursive-overlapped contrast limited adaptive histogram specification and dual-image wavelet fusion for the high visibility of deep underwater image
title_sort	image contrast enhancement using an integration of recursive-overlapped contrast limited adaptive histogram specification and dual-image wavelet fusion for the high visibility of deep underwater image
publisher	Elsevier Ltd
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/21272/ http://umpir.ump.edu.my/id/eprint/21272/ http://umpir.ump.edu.my/id/eprint/21272/ http://umpir.ump.edu.my/id/eprint/21272/1/Image%20contrast%20enhancement%20using%20an%20integration%20of%20recursive-overlapped%20contrast%20limited%20adaptive%20histogram.pdf
first_indexed	2023-09-18T22:31:08Z
last_indexed	2023-09-18T22:31:08Z
_version_	1777416292922294272

Image contrast enhancement using an integration of recursive-overlapped contrast limited adaptive histogram specification and dual-image wavelet fusion for the high visibility of deep underwater image

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