Advertisement

A Novel Multibit Watermarking Scheme Combining Spread Spectrum and Quantization

  • Xinshan Zhu
  • Zhi Tang
  • Liesen Yang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4283)

Abstract

This paper presents a new multibit watermarking method. The method uses multiple orthonormalized watermark patterns of the same size as the host signal. In particular, the elements of each watermark pattern follow independent normal distribution. Each bit of the transmitted message is hidden using the dither quantizers to modify the projection of the host signal onto its corresponding watermark pattern. As a result, every hidden bit is spread over all elements of the host data and the extracting procedure is blind. Meanwhile, we consider how to choose a suitable quantization step size under the given distortion constraint. It is also proved mathematically that the upper bound of the bit error probability of our method is equal to one of the spread-transform dithered modulation (STDM) under the same situations. Experimental results show our scheme performs better than STDM in terms of bit error probability.

Keywords

Error Probability Digital Watermark Quantization Step Host Signal Watermark Signal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Moulin, P., Koetter, R.: Data-hiding codes. Proceedings IEEE 93(12), 2083–2127 (2005)CrossRefGoogle Scholar
  2. 2.
    Cox, I.J., Kilian, J., Leighton, F.T., Shamoon, T.: Secure spread spectrum watermarking for multimedia. IEEE Transactions on Image Processing 6(12), 1673–1687 (1997)CrossRefGoogle Scholar
  3. 3.
    Chen, B., Wornell, G.W.: Quantization index modulation: a class of provably good methods for digital watermarking and information embedding. IEEE Transactions on Information Theory 47(4), 1423–1443 (2001)MATHCrossRefMathSciNetGoogle Scholar
  4. 4.
    Chen, B., Wornell, G.W.: Quantization index modulation methods for digital watermarking and information embedding of multimedia. Journal of VLSI Signal Processing 27, 7–33 (2001)MATHCrossRefGoogle Scholar
  5. 5.
    Eggers, J.J., Bauml, R., Tzschoppe, R., Girod, B.: Scalar costa scheme for information embedding. IEEE Transactions on Signal Processing 51(4), 1003–1019 (2003)CrossRefMathSciNetGoogle Scholar
  6. 6.
    Chen, B., Wornell, G.W.: Achievable performance of digital watermarking systems. In: IEEE Int. Conf. on Multimedia Computing and Systems, vol. 1, pp. 13–18 (1999)Google Scholar
  7. 7.
    Ourique, F., Licks, V., Jordan, R., Perez-Gonzalez, F.: Angle qim: a novel watermark embedding scheme robust against amplitude scaling distortions. In: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, March 2005, vol. 2, pp. 797–800 (2005)Google Scholar
  8. 8.
    Perez-Gonzalez, F., Mosquera, C., Barni, M., Abrardo, A.: Rational dither modulation: A high-rate data-hiding method invariant to gain attacks. IEEE Transactions on Signal Processing 53(10), 3960–3975 (2005)CrossRefMathSciNetGoogle Scholar
  9. 9.
    Strang, G.: Linear algebra and its applicarions. Harcourt Brace Jovanivich College Publishers (1998)Google Scholar
  10. 10.
    Cox, I.J., Miller, M.L., Bloom, J.A.: Digital watermarking. Academic Press, San Francisco (2002)Google Scholar
  11. 11.
    Jayant, N.S., Noll, P.: Digital coding of waveforms: principles and applications to speech and video. Prentice-Hall, Englewood Cliffs (1984)Google Scholar
  12. 12.
    Meewald, P.: C source code, http://www.ganesh.org/~pmeerw/c_source/

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Xinshan Zhu
    • 1
  • Zhi Tang
    • 1
  • Liesen Yang
    • 1
    • 2
  1. 1.Institute of Computer Science & Technology of Peking UniversityBeijingChina
  2. 2.National Key Laboratory of Text Processing TechnologyPeking UniversityBeijingChina

Personalised recommendations