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Reseach Article

A Spatial Domain Reversible Visible Watermarking Technique for Textured Images

by A. Borah, B. Borah
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 129 - Number 14
Year of Publication: 2015
Authors: A. Borah, B. Borah
10.5120/ijca2015907103

A. Borah, B. Borah . A Spatial Domain Reversible Visible Watermarking Technique for Textured Images. International Journal of Computer Applications. 129, 14 ( November 2015), 28-35. DOI=10.5120/ijca2015907103

@article{ 10.5120/ijca2015907103,
author = { A. Borah, B. Borah },
title = { A Spatial Domain Reversible Visible Watermarking Technique for Textured Images },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 129 },
number = { 14 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 28-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume129/number14/23143-2015907103/ },
doi = { 10.5120/ijca2015907103 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:23:44.134244+05:30
%A A. Borah
%A B. Borah
%T A Spatial Domain Reversible Visible Watermarking Technique for Textured Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 129
%N 14
%P 28-35
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Digital watermarking is widely used as one of the techniques to identify ownership and protect copyrights of digital images. The watermark inserted may be visible or invisible. A Visible watermark, which is nothing but a digital pattern logo or trademark, directly convey ownership information on the media, while invisible watermarks do it indirectly after being extracted with the help of extraction techniques. A visual watermark should be such that it is clearly visible in order to survive legal procedure, yet important details of host image should not be lost. Better visibility requires higher amount of modification to the host image leading to introduction of larger amount of error and reduced PSNR. Visible watermarking methods are devised to embed visible watermarks by automatically determining the required optimal strength of the watermark to be inserted. One important problem with visual watermarking is that attackers can remove the watermarks by utilizing specialized algorithms like inpainting and insert their own watermarks. In order to prevent removal attack, visible watermarks having highly textured patterns or widely varying colors should be inserted into highly textured image areas. Many of the visible watermarking algorithms fail to embed watermarks in images with higher texture content. This paper proposes a reversible visible watermarking method that can deal with high texture content for the image area as well as the watermark. The watermark image with its range reduced by a factor of α is added to the host image, whose range is also reduced by a factor of 1-α. The α factor is automatically determined based on the entropy of the host as well as the watermark images. The copyright owner can easily recover the original host image with minimal error, provided information regarding the scaling factors, position of watermark and the watermark itself are preserved. Experimental results established the effectiveness of the method proposed.

References
  1. Chen P.-M. 2000. A visible watermarking mechanism using a statistic approach. Proc. of WCCC-ICSP 2000, pp. 910-913.
  2. Berghel H. and O’Gorman, L. 1996. Protecting ownership rights through digital watermarking. IEEE Computer Mag, pp. 101-103.
  3. Kankanhalli M. S., Rajmohan and Ramakrishnan K. R. 1999. Adaptive visible watermarking of images. In Proc. International Conference on Multimedia Computing and Systems, Vol. 1, IEEE, pp.568-573.
  4. Zeng W. and Yanpeng W. 2010. A visible watermarking scheme in spatial domain using HVS model. Information Technology Journal 9(8), 2010, pp. 1622-1628.
  5. Rao, A. R., Braudaway G. W. and Mintzer F. C. 1998. Automatic visible watermarking of images. Proc. SPIE, Optical Security and Counterfeit Deterrence Techniques-2, vol. 3314, pp. 110–121.
  6. Huang C.-H. and.Wu, J.-L. 2004. Attacking visible watermarking schemes. IEEE Transactions on Multimedia, vol. 6, no. 1, pp. 16–30.
  7. Lumini A. and Maio D. 2004. Adaptive positioning of a visible watermark in a digital image. IEEE International Conference on Multimedia and Expo, ICME 2004 , vol. 2, pp. 967-970.
  8. Huang B.-B. and Tang S.-X. 2006. A contrast-sensitive visible watermarking scheme, Multimedia, IEEE 13(2), pp. 60-66.
  9. Hu, Y., Kwong S. and Huang J. 2006. An algorithm for removable visible watermarking, IEEE Transactions on Circuits and Systems for Video Technology., vol. 16, no. 1, pp. 129–133.
  10. Hu, Y. and Jeon B. 2006. Reversible visible watermarking and lossless recovery of original images. IEEE Transactions on Circuits and Systems for Video Technology, vol. 16, no. 11, pp. 1423–1429.
  11. Tsai H.-M. and Chang L.-W. 2007. A high secure reversible visible water marking scheme. In Proc. IEEE Int. Conf. Multimedia Expo, 2007, Beijing, China, pp. 2106–2109.
  12. Yang, Y., Sun, X., Yang, H., Li, C.-T. and Xiao, R. 2009. A contrast-sensitive reversible visibleimage watermarking technique. IEEE Transactions on Circuits and Systems for Video Technology, 19(5), 2009, 656–667.
  13. Liu T.-Y. and Tsai W.-H. 2010. Generic lossless visible watermarking – A new approach. IEEE Transactions on Image Processing, 19(5), 1224-1235.
  14. Zhang, X. , Wang, S. and Feng, G. 2011. Reversible Visible Watermarking with Lossless Data Embedding Based on Difference Value Shift. Intelligent Automation & Soft Computing 17.2, pp. 233-243.
  15. Kalra, G. S., Talwar, R. and Sadawarti, H. 2011. Protecting Copyright Multimedia Files by Means of Digital Watermarking: A Review. The IEEE International Conference on Advanced Computing and Communication Technologies [ICACCT-2011] ISBN 81-8788503-3. http://www.apiit.edu.in/downloads /all%20chapters/CHAPTER-55.pdf.
  16. Lee, C-W and Tsai. W-H. 2012. A New Lossless Visible Watermarking Method via The use of The PNG Image.
  17. Jiang, M. 2012. A new adaptive visible watermarking algorithm for document images. Information Technology Journal, 11(9), 1322-1326.
  18. Gonzalez, R. C. and Woods, R. E. 2009. Digital Image Processing, Third edition, PEARSON.
  19. http://www.johnloomis.org/ece563/notes/basics/entropy/entropy.html.
  20. Qiu, M., Finlayson G. D. and Qiu, G. 2008. Contrast Maximizing and Brightness Preserving Color to Grayscale Image Conversion. CGIV2008, 4th European Conference on Colour in Graphics, Imaging, and Vision, June 2008, pp. 347-351, Terrassa-Barcelona, Spain.
  21. Weber, A. G. 1997. The USC-SIPI Image Database: Version 5, October 1997, Signal and Image Processing Institute, University of Southern California.
Index Terms

Computer Science
Information Sciences

Keywords

Watermark visible entropy range recovered PSNR.