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JCR Impact Factor: 1.221
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SCOPUS CiteScore: 2.5
Issues per year: 4
Current issue: Aug 2021
Next issue: Nov 2021
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PUBLISHER

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

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


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2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

2021-Jun-06
SCOPUS published the CiteScore for 2020, computed by using an improved methodology, counting the citations received in 2017-2020 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2020 is 2.5, better than all our previous results.

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  4/2017 - 13

A Novel Secure and Robust Image Watermarking Method Based on Decorrelation of Channels, Singular Vectors, and Values

IMRAN, M. See more information about IMRAN, M. on SCOPUS See more information about IMRAN, M. on IEEExplore See more information about IMRAN, M. on Web of Science, HARVEY, B. A. See more information about HARVEY, B. A. on SCOPUS See more information about HARVEY, B. A. on SCOPUS See more information about HARVEY, B. A. on Web of Science
 
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Download PDF pdficon (1,097 KB) | Citation | Downloads: 369 | Views: 414

Author keywords
authentication, data security, image decomposition, image forensic, watermarking

References keywords
watermarking(16), image(14), digital(13), processing(10), scheme(8), signal(7), singular(6), decomposition(6), jdsp(5), transform(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2017-11-30
Volume 17, Issue 4, Year 2017, On page(s): 107 - 116
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.04013
Web of Science Accession Number: 000417674300013
SCOPUS ID: 85035807013

Abstract
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A novel secure and robust image watermarking technique for color images is presented in this paper. Besides robustness and imperceptibility (which are the most important requisites of any watermarking scheme), there are two other challenges a good watermarking scheme must meet: security and capacity. Therefore, in devising the presented scheme, special consideration is also given to above-mentioned requirements. In order to do so, principal component analysis is involved to enhance imperceptibility and the unique utilization of singular value decomposition is done to achieve better performance in regard to capacity and robustness. Finally, a novel method is proposed to select constituents of an image for watermark embedding, which further improves the security. As a consequence, four essential requisites of a good watermarking scheme are achieved as visible from experimental results. To measure the behavior of presented watermarking scheme, a number of experiments were conducted by utilizing several color images as host images and as watermarks. The presented technique is compared with the latest available watermarking techniques and attained better results than them.


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

[1] T. Mayer, "The politics of online copyright enforcement in the EU", Springer, pp. 25-36, 2017.
[CrossRef]


[2] J. Ouyang, G. Coatrieux, B. Chen, H. Shu, "Color image watermarking based on quaternion Fourier transform and improved uniform log-polar mapping," Journal of Computers & Electrical Engineering, vol. 46, pp. 419-432, 2015.
[CrossRef] [Web of Science Times Cited 40] [SCOPUS Times Cited 50]


[3] C. S. Chang, J. J. Shen, "Features classification forest: A novel development that is adaptable to robust blind watermarking techniques," IEEE Transactions on Image Processing, vol. 26, no. 8, pp. 3921-3935, 2017.
[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 30]


[4] Q. Su, Y. Niu, H. Zou, X. Liu, "A blind dual color image watermarking based on singular value decomposition," Elsevier Journal of Applied Mathematics and Computation, vol. 219, no. 16, pp. 8455-8466, 2013.
[CrossRef] [Web of Science Times Cited 48] [SCOPUS Times Cited 59]


[5] Q. Su, Y. Niu, X. Liu, T. Yao, "A novel blind digital watermarking algorithm for embedding color image into color image," International Journal for Light and Electron Optics, vol. 124, no. 18, pp. 3254-3259, 2013.
[CrossRef] [Web of Science Times Cited 13] [SCOPUS Times Cited 18]


[6] B. Chen, G. Coatrieux, G. Chen, X. Sun, J. L. Coatrieux, H. Shu, Full 4-d quaternion discrete Fourier transform based watermarking for color images, Journal of Digital Signal Processing, vol. 28 pp. 106-119, 2014.
[CrossRef] [Web of Science Times Cited 76] [SCOPUS Times Cited 86]


[7] N. M. Makbool, B. E. Khoo, "A new robust and secure digital image watermarking scheme based on the integer wavelet transform and singular value decomposition," Elsevier Journal of Digital Signal Processing, vol. 33, pp. 134-147, 2014.
[CrossRef] [Web of Science Times Cited 87] [SCOPUS Times Cited 122]


[8] H. Qi, D. Zheng, J. Zhao, "Human visual system based adaptive digital image watermarking," Elsevier Journal of Signal Processing, vol. 88, no. 1, pp. 174-188, 2008.
[CrossRef] [Web of Science Times Cited 100] [SCOPUS Times Cited 134]


[9] A. Roy, A. K. Maiti, K. Ghosh, "A perception based color image adaptive watermarking scheme in ycbcr space," International Conference on Signal Processing and Integrated Networks, pp. 304- 317, 2015.
[CrossRef] [SCOPUS Times Cited 24]


[10] R. Liu, T. Tan, "An svd based watermarking scheme for protecting rightful ownership," IEEE Trans. on Multimedia, vol. 4, no. 1, pp. 121-128, 2002.
[CrossRef] [Web of Science Times Cited 583] [SCOPUS Times Cited 768]


[11] C. C. Lai, C. C. Tai, "Digital image watermarking using discrete wavelet transform and singular value decomposition," IEEE Trans. on Instrumentation and Measurement, vol. 59, no. 11, pp. 3060-3060, 2010.
[CrossRef] [Web of Science Times Cited 317] [SCOPUS Times Cited 417]


[12] K. Loukhaoukha, Comments on a digital watermarking scheme based on singular value decomposition and tiny genetic algorithm, Elsevier Journal of Digital Signal Processing vol. 23, no. 4 pp. 1334, 2013.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 19]


[13] X. P. Zhang, K. Li, "Comments on 'an svd based watermarking scheme for protecting rightful ownership,’" IEEE Trans. on Multimedia, vol. 5, no. 2 pp. 593-594, 2005.
[CrossRef] [Web of Science Times Cited 135] [SCOPUS Times Cited 162]


[14] C. C. Lai, "A digital watermarking scheme based on singular value decomposition and tiny genetic algorithm," Elsevier Journal of Digital Signal Processing, vol. 21, no. 4 pp. 522-527, 2011.
[CrossRef] [Web of Science Times Cited 95] [SCOPUS Times Cited 126]


[15] R. Rykaczewski, "Comments on 'an SVD based watermarking scheme for protecting rightful ownership,’" IEEE Trans. on Multimedia, vol. 9 no. 2 pp. 421-423, 2007.
[CrossRef] [Web of Science Times Cited 66] [SCOPUS Times Cited 84]


[16] E. Yavuz, Z. Telatar, "Comments on 'a digital watermarking scheme based on singular value decomposition and tiny genetic algorithm,’" Elsevier Journal of Digital Signal Processing, vol. 23 no. 4 pp. 1335-1336, 2013.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 14]


[17] R. Vidal, Y. Ma, S. S. Sastry, "Generalized principal component analysis", Introduction, Springer, pp. 25-54, 2016.
[CrossRef]


[18] B. K. Gunturk, X. Li, "Image Restoration: Fundamentals and Recent Advances," Taylor & Francis Group, pp. 168-172, 2013.

[19] B. Schauerte, "Multimodal computational attention for scene understanding and robotics," Springer, pp. 115-175, 2016.
[CrossRef]


[20] S. Jayaraman, S. Esakkirajan, T. Veerakumar, "Image Enhancement", in Digital Image Processing, McGraw-Hill Education, pp. 243-297, 2011.

[21] H. Jegou, M. Douze, C. Schmid, "Hamming embedding and weak geometric consistency for large scale image search," in: A. Z. David Forsyth, Philip Torr (Ed.), European Conference on Computer Vision, Vol. I of LNCS, Springer, pp. 304-317, 2008. URL http://lear.inrialpes.fr/pubs/2008/JDS08,
[CrossRef] [SCOPUS Times Cited 1057]


[22] C. S. Chang, J. J. Shen, "Feature classification forest: A novel development that is adaptable to robust blind watermarking techniques," IEEE Transaction on Image Processing, vol. 26, no. 8, pp. 3921-3935, 2017.
[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 30]




References Weight

Web of Science® Citations for all references: 1,638 TCR
SCOPUS® Citations for all references: 3,200 TCR

Web of Science® Average Citations per reference: 71 ACR
SCOPUS® Average Citations per reference: 139 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 2021-09-23 22:33 in 136 seconds.




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


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