Skip to main content

An Intelligent Watermark Detection Decoder Based on Independent Component Analysis

  • Conference paper
Book cover Digital Watermarking (IWDW 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2939))

Included in the following conference series:

Abstract

The detection errors undermine the credibility of a digital watermarking system. It is crucial to have a reliable detector such that false detection rate can be minimized before digital watermarking can be widely used in the real world. An intelligent watermark decoder using Independent Component Analysis (ICA) is proposed in this paper. The mathematical model of the detector is given in this paper. This intelligent decoder extracts a watermark correctly without using the original image. However, the accuracy of the watermarking extraction depends on the key and the statistical independence between the original image and the watermark. Experimental results have demonstrated that the proposed intelligent watermarking technique is robust against the attacks produced by Stirmark, such as cropping, filtering, image compression, rotation, scaling. It also has a good robustness against combination of several kinds of attacks. It is indicated that this new intelligent decoder has superior advantages over the existing ones in many aspects.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Voloshynovskiy, S., Pereira, S., Pun, T., Eggers, J.J., Su, J.K.: Attacks on Digital Watermarks: Classification, Estimation-based attacks and benchmarks. IEEE Communications Magazine, 2–10 (August 2001)

    Google Scholar 

  2. Moulin, P.: The role of information theory in watermarking and its application to image watermarking. Signal Processing 81, 1121–1139 (2001)

    Article  MATH  Google Scholar 

  3. Cox, I.J., Kilian, J., Leighton, T., et al.: Secure spread spectrum watermarking for multimedia. IEEE Tans. on Image Processing 6(12), 1673–1687 (1997)

    Article  Google Scholar 

  4. Barni, M., Bartolini, F., Cappelini, V., et al.: A DCT domain system for robust image watermarking. Signal Processing 66(3), 357–372 (1998)

    Article  MATH  Google Scholar 

  5. Hyvarinen, A., Oja, E.: Independent component analysis: a tutorial. In: Notes for International Joint Conference on Neural Networks (IJCNN 1999), Washington, D. C (1999), http://www.cis.hut.fi/projects/iac/

  6. Yu, D., Sattar, F., Ma, K.K.: Watermark detection and extraction using independent component analysis method. EURASIP Journal on Applied Signal Processing 1, 92–104 (2002)

    Google Scholar 

  7. Buccigrossi, R.W., Aimoncelli, E.P.: Image compression via joint statistical characterization in the wavelet domain. IEEE Trans on Image Processing 8(12), 1688–1701 (1999)

    Article  Google Scholar 

  8. Hsu, C.T., Wu, J.L.: Hidden digital watermarks in images. IEEE Transactions on Image Processing 8(1), 58–68 (1999)

    Article  Google Scholar 

  9. Hernández Juan, R., Martín, A., Pérez-González, F.: DCT-Domain Watermarking Techniques for Still Images: Detector Performance Analysis and a New Structure. IEEE Transactions on Image Processing 9(1), 55–66 (2000)

    Article  Google Scholar 

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

Li, Z., Kwong, S., Choy, M., Xiao, Ww., Zhen, J., Zhang, Jh. (2004). An Intelligent Watermark Detection Decoder Based on Independent Component Analysis. In: Kalker, T., Cox, I., Ro, Y.M. (eds) Digital Watermarking. IWDW 2003. Lecture Notes in Computer Science, vol 2939. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24624-4_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-24624-4_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21061-0

  • Online ISBN: 978-3-540-24624-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics