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JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Nov 2024
Next issue: Feb 2025
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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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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but 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: 810 | Views: 1,383

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 55] [SCOPUS Times Cited 69]


[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 40] [SCOPUS Times Cited 50]


[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 62] [SCOPUS Times Cited 76]


[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 18] [SCOPUS Times Cited 23]


[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 97] [SCOPUS Times Cited 116]


[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 113] [SCOPUS Times Cited 175]


[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 106] [SCOPUS Times Cited 141]


[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 27]


[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 636] [SCOPUS Times Cited 858]


[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 384] [SCOPUS Times Cited 520]


[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 17] [SCOPUS Times Cited 21]


[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 147] [SCOPUS Times Cited 177]


[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 106] [SCOPUS Times Cited 142]


[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 73] [SCOPUS Times Cited 94]


[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] [Web of Science Record]


[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 1235]


[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 40] [SCOPUS Times Cited 50]




References Weight

Web of Science® Citations for all references: 1,908 TCR
SCOPUS® Citations for all references: 3,788 TCR

Web of Science® Average Citations per reference: 83 ACR
SCOPUS® Average Citations per reference: 165 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 2024-11-22 06:45 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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