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JCR Impact Factor: 1.102
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Issues per year: 4
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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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2020-Jun-29
Clarivate Analytics published the InCites Journal Citations Report for 2019. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.102 (1.023 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.734.

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  3/2010 - 16

 HIGH-IMPACT PAPER 

A Robust Blind Image Watermarking Method Using Local Maximum Amplitude Wavelet Coefficient Quantization

HAJIZADEH, M. See more information about HAJIZADEH, M. on SCOPUS See more information about HAJIZADEH, M. on IEEExplore See more information about HAJIZADEH, M. on Web of Science, HELFROUSH, M. S. See more information about  HELFROUSH, M. S. on SCOPUS See more information about  HELFROUSH, M. S. on SCOPUS See more information about HELFROUSH, M. S. on Web of Science, DEHGHANI, M. J. See more information about  DEHGHANI, M. J. on SCOPUS See more information about  DEHGHANI, M. J. on SCOPUS See more information about DEHGHANI, M. J. on Web of Science, TASHK, A. See more information about TASHK, A. on SCOPUS See more information about TASHK, A. on SCOPUS See more information about TASHK, A. on Web of Science
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (980 KB) | Citation | Downloads: 1,085 | Views: 4,876

Author keywords
blind, copyright protection, image watermarking, wavelet trees

References keywords
watermarking(19), wavelet(15), image(12), quantization(6), transform(5), tree(4), process(4), multimedia(4), digital(4), blind(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-08-31
Volume 10, Issue 3, Year 2010, On page(s): 96 - 101
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.03016
Web of Science Accession Number: 000281805600016
SCOPUS ID: 77956620371

Abstract
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Full text preview
In this paper, an innovative blind watermarking algorithm has been proposed for imagery applications. This algorithm has used the coefficients of the discrete wavelet transform of the host image in the form of super trees to embed the predefined binary watermark in the host image. In this scheme, a pseudo random sequence is generated to determine the exact wavelet super trees used for embedding procedure. In the next step, after choosing the maximum and second maximum amplitude coefficients of each super tree, the distance vector between two coefficients is computed. For embedding bit zero of the specified watermark, the values of the distance vector elements are decreased, while for embedding bit 1, those values will be increased based on the proposed formulas. The experimental results show that the proposed algorithm has significant robustness against image processing attacks, especially JPEG compression and also the PSNR value for the watermarked images generated by the proposed method is more than 42 dB.


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

[1] F. A. P. Petitcolas, R. J. Anderson and M. G. Kuhn, "Attacks on Copyright marking system," Proc. Of 2nd Int. Workshop on Information Hiding, Portland, Oregon, USA, pp. 218-238, April 1998.
[CrossRef] [SCOPUS Times Cited 491]


[2] C. C. Chang, P. Y. Lin, J. Sh. Yeh, "Preserving robustness and removability for digital watermarks using subsampling and difference correlation," Information Sciences, vol. 179, pp. 2283-2293, 2009.
[CrossRef] [Web of Science Times Cited 26] [SCOPUS Times Cited 37]


[3] I. J. Cox, J. Kilian, F. T. Leighton, and T. Shamoon, "Secure spread spectrum watermarking for multimedia," IEEE Trans. Image Process., vol. 6, no. 12, pp. 1673-1687, Dec. 1997.
[CrossRef] [PubMed] [Web of Science Times Cited 3212] [SCOPUS Times Cited 4211]


[4] I. J. Cox, M.L. Miller, and J.A. Bloom, "Digital Watermarking," Morgan Kaufmann Publishers, 2001. [PermaLink]

[5] I. J. Cox and M. L. Miller, "The first 50 years of electronic watermarking," J. Appl. Signal Process., vol. 2, pp. 126-132, 2002.

[6] I. J. Cox, J. Kilian, F. T. Leighton, and T. Shamoon, "Secure spread spectrum watermarking for multimedia," IEEE Trans. Image Process., vol. 6, no. 12, pp. 1673-1687, Dec. 1997.
[CrossRef] [PubMed] [Web of Science Times Cited 3212] [SCOPUS Times Cited 4211]


[7] P. Meerwald and A. Uhl, "A survey of wavelet- domain watermarking algorithms," Proc. Of SPIE, Electronic Imaging, Security and Watermarking of Multimedia Contents, vol. 4314, Jan. 2001.

[8] M. Barni, F. Bartolini, and A. Piva, "Improved wavelet-based watermarking through pixel-wise masking," IEEE Trans. Image Pro. , vol. 10, no. 5, pp. 783-791, May 2001.
[CrossRef] [PubMed] [Web of Science Times Cited 547] [SCOPUS Times Cited 729]


[9] P. Tay and J. P. Havlicek, "Image watermarking using wavelets," Proc. The 45th Midwest Symposium on Circuits and Systems, vol. 3, pp. 258-261, 2002.

[10] J. Huang & C. Yang, "Image digital watermarking algorithm using multiresolution wavelet transform," In Proc. Of the IEEE Int. Conf. on Systems, Man and Cybernetics, vol. 3, pp. 2977-2982, Oct. 2004.
[CrossRef]


[11] Sh. H. Wang and Y. P. Lin, "Wavelet Tree Quantization for Copyright Protection Watermarking", IEEE Trans. On image Processing, vol. 13, no. 2, pp. 154-165, Feb. 2004.
[CrossRef] [PubMed] [Web of Science Times Cited 184] [SCOPUS Times Cited 250]


[12] E. Li, H. Liang and X. Niu, "Blind Image Watermarking Scheme Based on Wavelet Tree Quantization Robust to Geometric Attacks," In Proceedings of the IEEE WCICA, vol. 2, pp. 10256-10260, 2006.
[CrossRef] [SCOPUS Times Cited 13]


[13] K. Byun, S. Lee, and H. Kim, "A watermarking method using quantization and statistical characteristics of wavelet transform," Proc. IEEE PDCAT, pp. 689-693, 2005.
[CrossRef] [SCOPUS Times Cited 13]


[14] Jui-Cheng Yen, Hun-Chen Chen, and Jui-Hsiang Juan, "Blind Watermarking Based on The Wavelet Transform," The 7th Int. Conf. on Parallel and Distributed Computing, Applications and Technologies (PDCATÂ’06), pp. 474-478, Dec. 2006.

[15] G. D. Wu, P. H. Huang, "Image watermarking using structure based wavelet tree quantization", In ICIS, Melbourne, Australia, pp. 315-319, July 2007.

[16] A. Hu, N. Chen, "A Blind Watermarking Algorithm for Color Image Based on Wavelet Transform and Fourier Transform", the 9th International Conference for Young Computer Scientists, Nov. 2008.

[17] M. J. Tsai, C. Ting Lin and J. Liu , "A Wavelet-based Watermarking Scheme Using Double Wavelet Tree Energy Modulation", the 15th IEEE International Conference on Image Processing (ICIP 2008) , pp.417-420, Oct. 2008.
[CrossRef] [SCOPUS Times Cited 6]


[18] W. H. Lin, Y. R. Wang, S. Horng, T. Kao, Yi Pan, "A blind watermarking method using maximum wavelet coefficient quantization," Expert Systems with Applications , vol. 36, no. 9, pp. 11509-11516, Nov. 2009.
[CrossRef] [Web of Science Times Cited 84] [SCOPUS Times Cited 107]


[19] J. M. Shapiro, "Embedded image coding using zerotrees of wavelet coefficients," IEEE Trans. Signal Process., vol. 41, no. 12, pp. 3445-3462, Dec. 1993.
[CrossRef] [Web of Science Times Cited 3034] [SCOPUS Times Cited 3877]


[20] C. Christopoulos, A. Skodras, and T. Ebrahimi, "The JPEG2000 still image coding system: an overview," IEEE Transactions on Consumer Electronics, vol. 46, no. 4, pp. 1103-1127, Nov. 2000.
[CrossRef] [Web of Science Times Cited 820] [SCOPUS Times Cited 1061]


[21] D. Kundur and D. Hatzinakos, "Digital watermarking using multiresolution wavelet decomposition," in Proc. IEEE ICASSP, Seattle, vol. 5, pp. 2969-2972, May 1998.
[CrossRef] [SCOPUS Times Cited 326]


[22] F. A. P. Petitcolas, "Weakness of Existing Watermark Scheme", 1997.

[23] W. H. Lin, S. J. Horng, T. W. Kao, P. Fan, C. L. Lee, Yi Pan, "An Efficient Watermarking Method Based on Significant Difference of Wavelet Coefficient Quantization," IEEE Transactions on Multimedia, Vol. 10, no. 5, pp. 746-757, Aug. 2008.
[CrossRef] [Web of Science Times Cited 135] [SCOPUS Times Cited 159]


References Weight

Web of Science® Citations for all references: 11,254 TCR
SCOPUS® Citations for all references: 15,491 TCR

Web of Science® Average Citations per reference: 489 ACR
SCOPUS® Average Citations per reference: 674 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 2020-07-08 03:52 in 107 seconds.




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


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