Skip to main content

Hybrid SVD-Based Audio Watermarking Scheme

  • Conference paper
Advances in Multimedia Information Processing - PCM 2010 (PCM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6297))

Included in the following conference series:

  • 1479 Accesses

Abstract

In this paper, a new blind Singular Value Decomposition (SVD) and quantization based audio watermarking scheme is proposed. The watermark information is meaningful binary image permuted by the Piecewise Affine Markov Map (PWAM) before inserted into the host audio signal. The block-based method is applied by the modification of the largest singular values after the SVD transform. The watermark can be extracted without the original signal. Besides, the audio watermarking scheme is adaptive as the quantization step and block length can be changed adaptively without downgrading the signal. The experimental results demonstrate that the proposed scheme is very robust to filtering, extra noise, resampling, requantization, filtering, and MP3 compression attacks.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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.

Similar content being viewed by others

References

  1. Hartung, F., Kutter, M.: Multimedia watermarking techniques. Proceedings of the IEEE 87, 1079–1107 (1999)

    Article  Google Scholar 

  2. Cox, I.J., Kilian, J., Leighton, F.T., Shamoon, T.: Secure spread spectrum watermarking for multimedia. IEEE Transactions on Image Processing 6, 1673–1687 (1997)

    Article  Google Scholar 

  3. Wu, Y.: On the security of an SVD-based ownership watermarking. IEEE Transactions on Multimedia 7, 624–627 (2005)

    Article  Google Scholar 

  4. Chung, K.-L., Yang, W.-N., Huang, Y.-H., Wua, S.-T., Hsu, Y.-C.: On SVD-based watermarking algorithm. Applied Mathematics and Computation 188, 54–57 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  5. Mohammad, A.A., et al.: An improved SVD-based watermarking scheme for protecting rightful ownership. Signal Processing 88, 2158–2180 (2008)

    Article  MATH  Google Scholar 

  6. Bao, P., Ma, X.: Image adaptive watermarking using wavelet domain singular value decomposition. IEEE Transactions on Circuits and Systems for Video Technology 15, 96–102 (2005)

    Article  Google Scholar 

  7. Zhang, X.P., Li, K.: Comments on an SVD-based watermarking scheme for protecting rightful ownership. IEEE Transactions on Multimedia 7, 593–594 (2005)

    Article  Google Scholar 

  8. Ozer, H., Sankur, B., Memon, N.: An SVD based audio watermarking technique. In: Proceedings of the 7th ACM Workshop on Multimedia and Security, pp. 51–56 (August 2005)

    Google Scholar 

  9. ITU-R. Recommendation BS.1116: Methods for the Subjective Assessment of Small Impairments in Audio Systems including Multichannel Sound Systems, ITU Technical report (1993)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lei, B.Y., Lo, K.T., Lei, H. (2010). Hybrid SVD-Based Audio Watermarking Scheme . In: Qiu, G., Lam, K.M., Kiya, H., Xue, XY., Kuo, CC.J., Lew, M.S. (eds) Advances in Multimedia Information Processing - PCM 2010. PCM 2010. Lecture Notes in Computer Science, vol 6297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15702-8_58

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15702-8_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15701-1

  • Online ISBN: 978-3-642-15702-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics