Skip to main content

Reversing Global and Local Geometrical Distortions in Image Watermarking

  • Conference paper
Information Hiding (IH 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3200))

Included in the following conference series:

Abstract

A new method improving watermark robustness against both global and local geometrical distortions is presented in this article. The proposed approach is based on a self-reference concept and exploits special autocorrelation features of a spatial template. The template allows identifying both the transformation parameters and translation coordinates. Distortions are estimated and reversed on a level as global as possible to maximize watermark recovery effectiveness and minimize a time needed for that purpose. Experimental results showed that an inserted watermark could be successfully read even after Stirmark attack.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. O’Ruanaidh, J.J.K., Pun, T.: Rotation, scale and translation invariant spread spectrum digital image watermarking. Signal Processing 66, 303–317 (1998), http://www1.elsevier.nl/cas/tree/store/sigpro/sub/1998/66/3/1170.pdf

    Article  MATH  Google Scholar 

  2. Lin, C.-Y., Wu, M., Bloom, J.A., Miller, M.L., Cox, I.J., Lui, Y.M.: Rotation, Scale, and Translation Resilient Watermarking for Images. IEEE Transactions on Image Processing 10(5), 767–782 (2001), http://citeseer.nj.nec.com/article/lin01rotation.html

    Article  MATH  Google Scholar 

  3. Guo, H., Georganas, N.D.: Multiresolution Image Watermarking Scheme in the Spectrum Domain. In: Proc. Can. Conf. on Elec. And Comp. Eng., Winnipeg (May 2002), http://www.mcrlab.uottawa.ca/papers/Huiping_CCECE2002.pdf

  4. Hartung, F., Su, J.K., Girod, B.: Spread Spectrum Watermarking: Malicious Attacks and Counter-Attacks. In: Proceedings of SPIE, San Jose, CA, January 1999. Security and Watermarking of Multimedia Contents, vol. 3657 (1999), http://www.nt.e-teclmik.uni-erlangen.de/LNT_I/publications/pub_list/pub_files/lntl999_008.pdf

  5. Alghoniemy, M., Tewfik, A.H.: Geometric distortion correction in image watermarking. In: Proc. SPIE, January 2000, pp. 82–89 (2000), http://citeseer.nj.nec.com/alghoniemyOOgeometric.html

  6. Bas, P., Chassery, J.-M., Macq, B.: Geometrically Invariant Watermarking Using Feature Points. IEEE Transactions on Image Processing (September 2002), http://www.lis.inpg.fr/scientifique/bas/IEEE.pdf

  7. Celik, M.U., Saber, E.S., Sharma, G., Tekalp, A.M.: Analysis of Feature-based Geometry Invariant Watermarking. In: Proceedings of SPIE, Security and Watermarking of Multimedia Contents III, San Jose, CA, pp. 261–268 (January 2001)

    Google Scholar 

  8. Johnson, N.F., Duric, Z., Jajodia, S.: Recovery of Watermarks from Distorted Images. In: Third Information Hiding Workshop, Dresden, Germany, September 29-1 October (1999), http://cs.gmu.edu/~zduric/WebPages/Papers/GMU_JDJ.PDF

  9. Bender, W., Gruhl, D., Morimoto, N., Lu, A.: Techniques for data hiding. In: Proc. SPIE, vol. 2420, p. 40 (1995), http://www.research.ibm.com/journal/sj/mit/sectiona/bender.pdf

  10. Kostopoulos, V., Skodras, A.N., Christodoulakis, D.: Digital Image Watermarking: On the Enhancement of Detector Capabilities, in Proc. Fifth Int. Conf. on Mathematics in Signal Processing, Warwick, December 18-20 (2000), http://www.upatras.gr/ieee/skodras/pubs/ans-c38.pdf

  11. Pereira, S., Pun, T.: Fast Robust Template Matching for Affine Resistant Image Watermarks. University of Geneva, http://cuiwww.unige.cli/~vision/Publications/postscript/99/PereiraPun_wih99.ps.gz

  12. Digimarc Corporation, http://www.digimarc.com

  13. Voloshynovskiy, S., Herrigel, A., Rytsar, Y.B.: Watermark template attack. In: Wong, P.W., Delp, E.J. (eds.) ET2001: Security and Watermarking of Multimedia Content III, SPIE Proceedings, San Jose, California USA, January 22-25 (2001), http://vision.unige.ch/publications/postscript/2001/HerrigelVoloshynovskiyRytsar_spie2001.pdf

  14. Kutter, M.: Watermarking resisting to translation, rotation and scaling. In: Proceedings of SPIE (November 1998), http://citeseer.nj.nec.com/kutter98watermarking.html

  15. Deguillaume, F., Voloshynovskiy, S., Pun, T.: Method for the Estimation and Recovering from General Affine Transforms in Digital Watermarking Applications. In: SPIE Photonics West, Electronic Imaging 2002, Security and Watermarking of Multimedia Contents IV, San Jose, CA, USA, January 20-24 (2002), http://vision.unige.ch/publications/postscript/2002/DeguillameVoloshynovskiyPun_SPIE2002.pdf

  16. Honsinger, C., Rabbani, M.: Data Embedding Using Phase Dispersion. Imaging Science Division, Eastman Kodak Company, Rochester, NY, USA (2000), http://www.kodak.pl/US/plugms/acrobat/en/corp/researchDevelopment/dataEmbedding.pdf

  17. Voloshynovskiy, S., Deguillaume, F., Pun, T.: Multibit Digital WaÂŹtermarking Robust Against Local Nonlinear Geometrical Distortions. In: IEEE International Conference on Image Processing, ICIP2001, pp. 999-1002, Thessaloniki, Greece 01.pdf (2001), http://vision.unige.ch/publications/postscript/2001/VoloshynvskiyDeguillaumePun_ICIP20

  18. Bogumil, D.: Removing digital watermarks based on image autocorrelation features. TPO 2002, Serock (November 2002)(in Polish), http://www.ii.pw.edu.pl/~dbogumil

  19. Bas, P., Chassery, J.-M., Davoine, F.: A Geometrical and Frequential Watermarking Scheme Using Similarities. In: Proc of SPIE Electronic Imaging, Security and Watermarking of Multimedia Content I, San-Jose, USA, pp. 264–272 (1999)

    Google Scholar 

  20. Seo, J.S.: On the design of watermark pattern in the autocorrelation domain, KAIST Electrical Eng. & Computer Science (2002), http://www.samsung.com/AboutSAMSUNG/SocialCommitment/HumantechThesis/downloads/8th/b9.pdf

  21. Dong, P., Galatsanos, N.: Geometric Robust Watermarking Through Watermark Pattern Design. In: Proceedings of the IEEE International Conference on Image Processing (ICIP 2003), Barcelona, Spain (September 2003), http://www.cs.uoi.gr/~galatsanos/PAPERS/IPL-Conferance_papers/icip03_watermarking.pdf

  22. Petitcolas, F.A.P., Anderson, R.J.: Evaluation of copyright marking systems. In: IEEE Multimedia Systems (ICMCS 1999), pp. 574–579 (1999), http://citeseer.nj.nec.com/petitcolas99evaluation.html

  23. Bogumil, D.: Digital watermarks resistant to JPEG compression. Master Thesis, Warsaw University of Technology (September 2001) (in Polish), http://www.ii.pw.edu.pl/~dbogumil

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

BogumiƂ, D. (2004). Reversing Global and Local Geometrical Distortions in Image Watermarking. In: Fridrich, J. (eds) Information Hiding. IH 2004. Lecture Notes in Computer Science, vol 3200. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30114-1_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30114-1_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24207-9

  • Online ISBN: 978-3-540-30114-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics