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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2018 - 14

Underwater Image Enhancement by Adaptive Gray World and Differential Gray-Levels Histogram Equalization

WONG, S.-L. See more information about WONG, S.-L. on SCOPUS See more information about WONG, S.-L. on IEEExplore See more information about WONG, S.-L. on Web of Science, PARAMESRAN, R. See more information about  PARAMESRAN, R. on SCOPUS See more information about  PARAMESRAN, R. on SCOPUS See more information about PARAMESRAN, R. on Web of Science, TAGUCHI, A. See more information about TAGUCHI, A. on SCOPUS See more information about TAGUCHI, A. on SCOPUS See more information about TAGUCHI, A. on Web of Science
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Download PDF pdficon (1,869 KB) | Citation | Downloads: 359 | Views: 888

Author keywords
digital images, image processing, image enhancement, image color analysis, image fusion

References keywords
image(23), water(16), enhancement(11), processing(10), quality(6), information(5), signal(4), restoration(4), method(4), images(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-05-31
Volume 18, Issue 2, Year 2018, On page(s): 109 - 116
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.02014
Web of Science Accession Number: 000434245000014
SCOPUS ID: 85047857925

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Most underwater images tend to be dominated by a single color cast. This paper presents a solution to remove the color cast and improve the contrast in underwater images. However, after the removal of the color cast using Gray World (GW) method, the resultant image is not visually pleasing. Hence, we propose an integrated approach using Adaptive GW (AGW) and Differential Gray-Levels Histogram Equalization (DHE) that operate in parallel. The AGW is applied to remove the color cast while DHE is used to improve the contrast of the underwater image. The outputs of both chromaticity components of AGW and intensity components of DHE are combined to form the enhanced image. The results of the proposed method are compared with three existing methods using qualitative and quantitative measures. The proposed method increased the visibility of underwater images and in most cases produces better quantitative scores when compared to the three existing methods.

References | Cited By  «-- Click to see who has cited this paper

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References Weight

Web of Science® Citations for all references: 1,495 TCR
SCOPUS® Citations for all references: 2,407 TCR

Web of Science® Average Citations per reference: 60 ACR
SCOPUS® Average Citations per reference: 96 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2019-06-17 04:21 in 162 seconds.

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