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Robust Watermarking of Document and Graphics Images in Wavelet Domain

C. Patvardhan, A. K. Verma, C. Vasantha Lakshmi Published in Image Processing

International Journal of Applied Information Systems
Year of Publication 2012
© 2010 by IJAIS Journal
10.5120/ijais12-450402
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  1. C Patvardhan, A K Verma and Vasantha C Lakshmi. Article: Robust Watermarking of Document and Graphics Images in Wavelet Domain. International Journal of Applied Information Systems 2(8):21-27, June 2012. BibTeX

    @article{key:article,
    	author = "C. Patvardhan and A. K. Verma and C. Vasantha Lakshmi",
    	title = "Article: Robust Watermarking of Document and Graphics Images in Wavelet Domain",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 2,
    	number = 8,
    	pages = "21-27",
    	month = "June",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

In this paper, a wavelet based watermarking scheme for the protection of document and graphics images is proposed. Document and graphics images are different from other images as such images are typically in two colors only (generally white as background and black or other color as text or drawing). In document or graphics images, white background area is usually more than the text or drawing content, therefore any attempt at watermarking, creates the problem of visual artifacts on white background. Here a spread spectrum watermarking scheme in wavelet domain is presented, which utilizes only the area covered by the text or drawing for watermarking and leaving the white background area clear of any visual artifacts. Suitable wavelet coefficients are determined for watermark embedding using a mask. Depending on the number of available wavelet coefficients for embedding, better robustness is achieved by selecting appropriate embedding strength using a simple fuzzy rule. This scheme utilizes the characteristics of human visual system by selecting high frequency wavelet coefficients of diagonal orientation. As can be seen in the computational results, clear white background area is ensured with better robustness presented on a variety of document and graphics images.

Reference

  1. Van Schyndel R. G. , Tirkel A. Z. , and Osborne C. F. , "A Digital Watermark", IEEE Proceedings ICIP, vol. 2, pp. 86-90, 1994.
  2. Nikolaidis N. and Pitas I. , "Robust Image Watermarking in the Spatial Domain", Elsevier, Signal Processing 66, 385-403, 1998.
  3. Mukherjee D. P. , MaitraSubhamoy, and Scott T. Acton, "Spatial Domain Digital Watermarking of Multimedia Objects for Buyer Authentication", IEEE Transactions on Multimedia, Vol. 6, No. 1, February 2004.
  4. Ganic Emir, Dexter Scott D. and EskiciogluAhmet M. , "Embedding Multiple Watermarks in the DFT Domain using Low and High Frequency Bands", Proceedings on Security, Steganography, and Watermarking of Multimedia Contents, Volume VII, vol. 5681, SPIE.
  5. Solachidis V. andPitas L. , "Circularly symmetric watermark embedding in 2-D DFT domain", IEEE Transactions on Image Processing, Vol. 10, 1741-1753, Nov. 2001.
  6. Lin S. D. and Chin Feng Chen, "A robust DCT-based watermarking for copyright protection", IEEE Transactions on Consumer Electronics, Vol. 46, Issue. 03, pp. 415-421, August 2000.
  7. Barni M. , Bartolini F. , Cappellini V. andPiva A. , "A DCT-domain system for robust image watermarking", Elsevier, Signal Processing 66, 357-372, 1998.
  8. Hernández Juan R. , AmadoMartín and Pérez-González Fernando, "DCT-Domain Watermarking Techniques for Still Images: Detector Performance Analysis and a New Structure", IEEE Transactions on Image Processing, Vol. 9, No. 1, January 2000.
  9. Serdean C. V. , Tomlinson M. , Wade J. G. and Ambroze M. A. , "Protecting Intellectual Rights: Digital WM in the Wavelet Domain", Proceedings of the IEEE International Workshop on Trends and Recent Achievements in Information Technology, Cluj-Napoca, Romania, 16-18 May, 02, ISBN: 973-8335-49-3.
  10. Patvardhan C. , Verma A. K. and Lakshmi C. Vasantha, "A Comparative Analysis of Spread Spectrum Watermarking Technique in Wavelet Domain", Journal of Computer Science and Engineering (JCSE), Volume 9, Issue 2, October 2011.
  11. Woo C. S. , Du J. and Pham B. , "Performance Factors Analysis of a Wavelet-based Watermarking Method", Proceedings of 3rd Australian Information Security Workshop (AISW2005), CRPIT, vol. 44, pp. 89-97, 2005.
  12. Patvardhan C. , Verma A. K. and Lakshmi C. Vasantha , "A Robust Wavelet Packet based blind Digital Image Watermarking using HVS characteristics", International Journal of Computer Applications (IJCA), 0975 – 8887, Volume 36, No. 09, December 2011.
  13. Brassil J. , Low S. , Maxemchuk N. and O'Gorman L. , "Electronic marking and identification techniques to discourage document copying", IEEE journal of Select. Areas Commun. , Vol. 13, pp. 1495-1504, 1995.
  14. Brassil J. , Low S. , Maxemchuk N. and O'Gorman L. , "Copyright Protection for the electronic distribution of text documents", Proceedings of IEEE, no. 07, pp. 1181-1196, 1999.
  15. Mei Q. , Wong E. K. , and Memon N. , "Data Hiding in Binary Text Documents," Proceedings of the SPIE, Security and Watermarking of Multimedia Contents III, vol. 4314, San Jose, California, pp. 369-375, Jan. 2001.
  16. Huijuan Yang and Alex C. Kot, "Data Hiding for Text Document Image Authentication by Connectivity Preserving", ICASSP, IEEE, 2005.
  17. Liu Jin'An, He Lu, Fang DingYi and GuiXiaoLin, "A Text Digital Watermarking for Chinese Word Document", International Symposium on Computer Science and Computational Technology, 2008.
  18. Young-Won Kim and Il-Seok Oh, "Watermarking text document images using edge direction histograms", Elsevier Pattern Recognition Letters-25, 1243–1251, 2004.
  19. Chen M. , Wong E. K. , Memon N. and Adams S. , "Recent developments in document image watermarking and data hiding," in Proc. SPIE Conf. 4518: Multimedia Systems and Applications IV, Aug. 2001, pp. 166–176.
  20. JalilZunera and Mirza Anwar M. , "A Review of Digital Watermarking Techniques for Text Documents", International Conference on Information and Multimedia Technology, IEEE, 2009.
  21. Haiping Lu, Xuxia Shi, Shi Y. Q. , Kot A. C. and Lihui Chen, "Watermark embedding in DC components of DCT for binary images", IEEE Workshop onMultimedia Signal Processing, 300 – 303, Nanyang Technol. Univ. , Singapore, 2002.
  22. Hongwei Lu and Wei Xia, "A Robust Binary Image Watermarking Based on Wavelet Domain and Krawtchouk Moments", International Conference on Research Challenges in Computer Science, IEEE, 2009.
  23. FatemehDaraeeand SaeedMozaffari, "Watermarking in Farsi/Arabic binary document images using fractal coding", 8thInternational Conference on Information Security and Cryptology (ISCISC), September 14-15, 2011.
  24. Daubechies Ingrid, "Ten Lecture on Wavelets", CBMS-NSF Regional Conference Series in Applied Mathematics, ISBN: 978-0898712742, 1e, June 1992.
  25. MallatStephane, "A Wavelet Tour of Signal Processing", 3e, 2008, Academic Press, ISBN 978-01-237-4370-1.
  26. Product documentation of Wavelet Toolbox: http://www. mathworks. com/help/toolbox/wavelet/wavelet_product_page. html.
  27. SuhadHajjara, MoussaAbdallah and AmjadHudaib, "Digital Image Watermarking using Localized Biorthogonal Wavelets", European Journal of Scientific Research, ISSN: 1450-216X, Vol. 26, No. 4, pp. 594-608, 2009.
  28. Cox I. J. , Kilian Joe, Leighton F. Thomson and ShamoonTalal, "Secure Spread Spectrum Watermarking for Multimedia", IEEE Transactions on Image Processing, Vol. 6, No. 12, December 1997.

Keywords

Wavelets, Bior6.8, Robustness, Correlation,fuzzy Logic,embedding Strength, Level Of Decomposition, Human Visual System