Paper Submission
| 2/2018 - 14 |
Underwater Image Enhancement by Adaptive Gray World and Differential Gray-Levels Histogram EqualizationWONG, S.-L.   , PARAMESRAN, R. , TAGUCHI, A. |
| Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science |
Download PDF  (1,869 KB) | Citation | Downloads: 209 | Views: 496 |
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
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 |
| [1] J. Y. Chiang and Ying-Ching Chen, "Underwater Image Enhancement by Wavelength Compensation and Dehazing," IEEE Transactions on Image Processing, vol. 21, no. 4, pp. 1756-1769, Apr. 2012. [CrossRef] [Web of Science Times Cited 155] [SCOPUS Times Cited 219] [2] E. Trucco and A. T. Olmos-Antillon, "Self-tuning underwater image restoration," IEEE Journal of Oceanic Engineering, vol. 31, no. 2, pp. 511-519, Apr. 2006. [CrossRef] [Web of Science Times Cited 52] [SCOPUS Times Cited 67] [3] A. Galdran, D. Pardo, A. Picon, and A. Alvarez-Gila, "Automatic Red-Channel underwater image restoration," Journal of Visual Communication and Image Representation, vol. 26, pp. 132-145, Jan. 2015. [CrossRef] [Web of Science Times Cited 63] [SCOPUS Times Cited 78] [4] M. S. Hitam, W. N. J. H. W. Yussof, E. A. Awalludin, and Z. Bachok, "Mixture contrast limited adaptive histogram equalization for underwater image enhancement," in 2013 International Conference on Computer Applications Technology (ICCAT), 2013, pp. 1-5. [CrossRef] [SCOPUS Times Cited 67] [5] K. Iqbal, M. Odetayo, and A. James, "Enhancing the low quality images using Unsupervised Colour Correction Method," in 2010 IEEE International Conference on Systems, Man and Cybernetics, 2010, pp. 1703-1709. [CrossRef] [SCOPUS Times Cited 74] [6] R. Schettini and S. Corchs, "Underwater image processing: state of the art of restoration and image enhancement methods," EURASIP Journal on Advances in Signal Processing, vol. 2010, pp. 1-15, 2010. [CrossRef] [Web of Science Times Cited 97] [SCOPUS Times Cited 230] [7] A. S. A. Ghani and N. A. M. Isa, "Underwater image quality enhancement through Rayleigh-stretching and averaging image planes," International Journal of Naval Architecture and Ocean Engineering, vol. 6, no. 4, pp. 840-866, 2014. [CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 13] [8] A. S. A. Ghani and N. A. M. Isa, "Underwater image quality enhancement through integrated color model with Rayleigh distribution," Applied Soft Computing, vol. 27, pp. 219-230, Feb. 2015. [CrossRef] [Web of Science Times Cited 26] [SCOPUS Times Cited 35] [9] A. S. A. Ghani and N. A. M. Isa, "Enhancement of low quality underwater image through integrated global and local contrast correction," Applied Soft Computing, vol. 37, pp. 332-344, Dec. 2015. [CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 21] [10] C. Li, J. Guo, S. Chen, Y. Tang, Y. Pang, and J. Wang, "Underwater image restoration based on minimum information loss principle and optical properties of underwater imaging," in 2016 IEEE International Conference on Image Processing (ICIP), 2016, no. 20120032110034, pp. 1993-1997. [CrossRef] [SCOPUS Times Cited 6] [11] C. Li, J. Guo, R. Cong, Y. Pang, and B. Wang, "Underwater Image Enhancement by Dehazing with Minimum Information Loss and Histogram Distribution Prior," IEEE Transactions on Image Processing, vol. 25, no. 12, pp. 5664-5677, Dec. 2016. [CrossRef] [Web of Science Times Cited 19] [SCOPUS Times Cited 36] [12] N. Carlevaris-Bianco, A. Mohan, and R. M. Eustice, "Initial results in underwater single image dehazing," in Oceans 2010 Mts/Ieee Seattle, 2010, pp. 1-8. [CrossRef] [SCOPUS Times Cited 101] [13] C. Ancuti, C. O. Ancuti, T. Haber, and P. Bekaert, "Enhancing underwater images and videos by fusion," in 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012, pp. 81-88. [CrossRef] [SCOPUS Times Cited 160] [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] [Web of Science Times Cited 9] [SCOPUS Times Cited 15] [15] G. Buchsbaum, "A spatial processor model for object colour perception," Journal of the Franklin Institute, vol. 310, no. 1, pp. 1-26, 1980. [CrossRef] [Web of Science Times Cited 675] [SCOPUS Times Cited 847] [16] V. Chikane and C. S. Fuh, "Automatic white balance for digital still cameras," Journal of Information Science and Engineering, vol. 22, no. 3, pp. 497-509, 2006. [CrossRef] [Web of Science Times Cited 54] [SCOPUS Times Cited 79] [17] W. J. Kyung, D. C. Kim, H. G. Ha, and Y. H. Ha, "Color enhancement for faded images based on multi-scale gray world algorithm," in 2012 IEEE 16th International Symposium on Consumer Electronics, no. 5, pp. 16-19, 2012. [CrossRef] [SCOPUS Times Cited 3] [18] S.-C. Tai, T.-W. Liao, Y.-Y. Chang, and C.-P. Yeh, "Automatic White Balance Algorithm through the Average Equalization and Threshold," in 8th International Conference on Information Science and Digital Content Technology (ICIDT), 2012, vol. 3, pp. 571-576. [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 15] [20] G. Bianco, M. Muzzupappa, F. Bruno, R. Garcia, and L. Neumann, "A new color correction method for underwater imaging," in ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015, vol. XL-5/W5, no. April, pp. 25-32. [CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 23] [21] E. Y. Lam, "Combining gray world and retinex theory for automatic white balance in digital photography," in Proceedings of the Ninth International Symposium on Consumer Electronics, 2005. (ISCE 2005)., 2005, pp. 134-139. [CrossRef] [Web of Science Times Cited 64] [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 3] [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. [CrossRef] [Web of Science Times Cited 46] [SCOPUS Times Cited 56] [24] M. Yang and A. Sowmya, "An Underwater Color Image Quality Evaluation Metric," IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 6062-6071, Dec. 2015. [CrossRef] [Web of Science Times Cited 28] [SCOPUS Times Cited 36] Web of Science® Citations for all references: 1,316 TCR SCOPUS® Citations for all references: 2,184 TCR Web of Science® Average Citations per reference: 53 ACR SCOPUS® Average Citations per reference: 87 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 2019-01-19 17:26 in 164 seconds. Note1: Web of Science® is a registered trademark of Clarivate Analytics. Note2: SCOPUS® is a registered trademark of Elsevier B.V. Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site. |
Copyright ©2001-2019
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.