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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
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ROMANIA

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


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  2/2018 - 14

 HIGH-IMPACT PAPER 

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 (1,881 KB) | Citation | Downloads: 1,850 | Views: 5,558

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

Abstract
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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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[CrossRef] [SCOPUS Times Cited 1001]


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[CrossRef] [SCOPUS Times Cited 179]


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[CrossRef] [SCOPUS Times Cited 882]


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[CrossRef] [SCOPUS Times Cited 472]


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[CrossRef] [SCOPUS Times Cited 603]


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[CrossRef] [SCOPUS Times Cited 59]


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[CrossRef] [SCOPUS Times Cited 270]


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[CrossRef] [SCOPUS Times Cited 175]


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[CrossRef] [SCOPUS Times Cited 80]


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[CrossRef] [SCOPUS Times Cited 751]


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[CrossRef] [SCOPUS Times Cited 460]


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[CrossRef] [SCOPUS Times Cited 1062]


[14] C. O. Ancuti, C. Ancuti, C. De Vleeschouwer, and P. Bekaert, "Color Balance and Fusion for Underwater Image Enhancement," IEEE Transactions on Image Processing, vol. 27, no. 1, pp. 379-393, Jan. 2018.
[CrossRef] [SCOPUS Times Cited 1060]


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[CrossRef] [SCOPUS Times Cited 184]


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[CrossRef] [SCOPUS Times Cited 8]


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[19] N. M. Kwok, D. Wang, X. Jia, S. Y. Chen, G. Fang, and Q. P. Ha, "Gray world based color correction and intensity preservation for image enhancement," 2011 4th International Congress on Image and Signal Processing, vol. 2, pp. 994-998, 2011.
[CrossRef] [SCOPUS Times Cited 36]


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[CrossRef] [SCOPUS Times Cited 82]


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[CrossRef]


[22] K. Murahira and A. Taguchi, "A novel contrast enhancement method using differential gray-levels histogram," in 2011 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS), 2011, pp. 1-5.
[CrossRef] [SCOPUS Times Cited 6]


[23] S. Wang, K. Ma, H. Yeganeh, Z. Wang, and W. Lin, "A Patch-Structure Representation Method for Quality Assessment of Contrast Changed Images," IEEE Signal Processing Letters, vol. 22, no. 12, pp. 2387-2390, Dec. 2015.
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[CrossRef] [SCOPUS Times Cited 1180]




References Weight

Web of Science® Citations for all references: 0
SCOPUS® Citations for all references: 10,811 TCR

Web of Science® Average Citations per reference: 0
SCOPUS® Average Citations per reference: 432 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 2025-07-01 01:45 in 152 seconds.




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