Skip to main content

A Color Image Watermarking Scheme in the Associated Domain of DWT and DCT Domains Based on Multi-channel Watermarking Framework

  • Conference paper
Digital Watermarking (IWDW 2008)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 5450))

Included in the following conference series:

Abstract

In this paper, a new watermarking scheme based on the multi-channel image watermarking framework is proposed, which is mainly used to resist geometric attacks. The multi-channel image watermarking framework generates a watermarking template from one of image channels data, and then embeds this watermarking template into another image channel. Self-synchronization can be obtained in the procedure of detecting watermarking, because both the watermarking template and watermarking image undergo a similar geometric attack. The watermarking scheme we propose in this paper generates watermarking templates from one image channel data to which we have done DWT and DCT transformation and embeds these watermarking templates into another image channel data to which we have done DWT and DCT transformation. This scheme is robust to some geometric attacks and common signal processing such as geometric distortion, rotation, JPEG compression and adding noise ect.. Experimental results demonstrate that this watermarking scheme produced by the multi-channel watermarking framework achieves a high performance of robustness.

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. Brown, G.L.: A Survey of Image Registration Techniques. ACM Computing Surveys 24(4), 325–376 (1992)

    Article  MathSciNet  Google Scholar 

  2. Kutter, M.: Watermarking resisting to translation, rotation and scaling. In: Proc. SPIE, November 1998, vol. 3528, pp. 423–431 (1998)

    Google Scholar 

  3. Huang, X.Y., Luo, Y., Tan, M.S.: A Image Digital Watermarking based on DWT in Invariant Wavelet Domain. In: IEEE Fourth International Conference on Image and Graphics, October 2007, pp. 329–334 (2007)

    Google Scholar 

  4. Song, Q., Zhu, G.X., Luo, H.J.: Image Watermarking Based on Image Nornalization. In: Proc. of Int. Sym. on Comm. and Info. Tech., May 2005, pp. 1454–1457 (2005); Ling, H.F., Lu, Z.D., Zou, F.H., Yuan, W.G.: A Geometrically Robust Watermarking Scheme Based on Self-recognition Watermarking Pattern. In: IEEE Workshop in Multimedia Comm. and Computing, June 2006, pp. 1601–1604 (2006)

    Google Scholar 

  5. Singhal, N., Lee, Y.-Y., Kim, C.-S., Lee, S.-U.: Robust Image Watermarking Based on Local Zernike Moments (June 2007)

    Google Scholar 

  6. O’Ruanaidh, J.J.K., Pun, T.: Rotation, scale and translation invariant digital image watermarking. In: Proceedings of International Conference on Image Processing, October 1997, vol. 1, pp. 536–539 (1997)

    Google Scholar 

  7. Lin, C.Y., Wu, M., Bloom, J.A., Cox, I.J., Miller, M.L., Lui, Y.M.: Rotation, scale, and translation resilient watermarking of images. IEEE Trans. Image Process. 10(5), 767–782 (2001); Setyawan, I.: Geometric Distortion in Image and Video Watermarking: Robustness and Perceptual Quality. Ph D Thesis, Delft University of Technology (2004)

    Google Scholar 

  8. Li, Z., Kwong, S., Wei, G.: Geometric moment in image watermarking. In: Proceedings of the 2003 International Symposium on Circuits and Systems, May 2003, vol. 2, pp. II-932–II-935 (2003)

    Google Scholar 

  9. Dong, P., Galatsanos, N.P.: Affine transformation resistant watermarking based on image normalization. In: Proceedings of International Conference on Image Processing, June 2002, vol. 3(24-28), pp. 489–492 (2002)

    Google Scholar 

  10. Alghoniemy, M., Tewfik, A.H.: Geometric invariance in image watermarking. IEEE Trans. Image Process. 13(2), 145–153 (2004)

    Article  Google Scholar 

  11. Senthil, V., Bhaskaran, R.: Wavelet Based digital image watermarking with robustness against on geometric attacks. In: Conference on Computational Intelligence and Multimedia Applications, December 2007, vol. 4, pp. 89–93 (2007)

    Google Scholar 

  12. Simitopoulos, D., Koutsonanos, D.E.: Robust image watermarking based on generalized radon transformations. IEEE Transactions on Circuits and 101 Systems for Video Technology 13(8), 732–745 (2003)

    Article  Google Scholar 

  13. Kim, H.S., Lee, H.K.: Invariant image watermarking using zernike moments. IEEE Transactions on Circuits and Systems for Video Technology 13(8), 766–775 (2003)

    Article  Google Scholar 

  14. Singhal, N., Lee, Y.-Y., Kim, C.-S., Lee, S.-U.: Robust image watermarking based on local Zernike moments. IEEE Trans. on Multimedia signal processing, 401–404 (October 2007)

    Google Scholar 

  15. Kang, X., Huang, J., Shi, Y.Q., Lin, Y.: A DWT-DFT composite watermarking scheme robust to both affine transform and JPEG compression. IEEE Trans. on Circuits and Systems for Video Technology 13(8), 776–786 (2003)

    Article  Google Scholar 

  16. Pereira, S., Pun, T.: Robust template matching for affine resistant image watermarks. IEEE Trans. on Image Processing 9(6), 1123–1129 (2000)

    Article  Google Scholar 

  17. Ling, H.F., Lu, Z.D., Zou, F.H., Yuan, W.G.: A Geometrically Robust Watermarking Scheme Based on Self-recognition Watermarking Pattern. In: IEEE Workshop in Multimedia Comm. and Computing, June 2006, pp. 1601–1604 (2006)

    Google Scholar 

  18. Setyawan, I.: Geometric Distortion in Image and Video Watermarking: Robustness and Perceptual Quality. Ph D Thesis, Delft University of Technology (2004)

    Google Scholar 

  19. Bas, P., Chassery, J.M., Macq, B.: Geometrically invariant watermarking using feature points. IEEE Trans. on Image Processing 11(9), 1014–1028 (2002)

    Article  Google Scholar 

  20. Tang, C.W., Hang, H.M.: A feature-based robust digital image watermarking scheme. IEEE transactions on Signal Processing 51(4), 950–958 (2003)

    Article  MathSciNet  Google Scholar 

  21. Weinheimer, J.: Towards a Robust Feature-Based Watermark. University of Rochester (2004)

    Google Scholar 

  22. Seo, J.S., Yoo, C.D.: Image watermarking based on invariant regions of scale-space representation. IEEE Trans. on see also Acoustics, Speech, and Signal Processing 54, 1537–1549 (2006)

    Google Scholar 

  23. Zheng, J.B., Feng, D.D., Zhao, R.C.: A Multi-channel framework for image watermarking. In: IEEE Proceeding of the 4th Int. Conf. on Machine Learning and Cyber., vol. 4, pp. 3096–3100 (2005)

    Google Scholar 

  24. Jiangbin, Z., Sha, F.: A color image multi-channel DWT domain watermarking algorithm for resisting geometric attacks. In: International Conference on Machine Learning and Cybernetics (2008)

    Google Scholar 

  25. Cotsman, G., Pitas, I.: Chaotic watermarks for embedding in the spatial digital image domain. In: Proceedings ICIP 1998, Chicago, IL, October 1998, vol. 2, pp. 432–436 (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zheng, Jb., Feng, S. (2009). A Color Image Watermarking Scheme in the Associated Domain of DWT and DCT Domains Based on Multi-channel Watermarking Framework. In: Kim, HJ., Katzenbeisser, S., Ho, A.T.S. (eds) Digital Watermarking. IWDW 2008. Lecture Notes in Computer Science, vol 5450. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04438-0_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04438-0_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04437-3

  • Online ISBN: 978-3-642-04438-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics