Skip to main content

Audio Watermarking Based on Quantization in Wavelet Domain

  • Conference paper
Information Systems Security (ICISS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 5352))

Included in the following conference series:

Abstract

A robust and oblivious audio watermarking based on quantization of wavelet coefficients is proposed in this paper. Watermark data is embedded by quantizing large wavelet coefficient in absolute value of high frequency detail sub-band at the third level wavelet transform. The watermark can be extracted without using the host signal. Experimental results show that the proposed method has good imperceptibility and robustness under common signal processing attacks such as additive noise, low-pass filtering, re-sampling, re-quantization, and MP3 compression. Moreover it is also robust against desynchronization attacks such as random cropping and jittering. Performance of the proposed scheme is better than audio watermarking scheme based on mean quantization.

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. Cox, I., Miller, M., Bloom, J., Fridrich, J., Kalke, T.: Digital watermarking and steganography, 2nd edn. Morgan Kaufmann, San Francisco (2007)

    Google Scholar 

  2. Cvejic, N., Seppanen, T.: Digital audio watermarking techniques and technologies. Information Science Reference, USA (August 2007)

    Google Scholar 

  3. Basia, P., Pitas, I., Nikolaidis, N.: Robust audio watermarking in the time domain. IEEE Transactions on Multimedia 3(2), 232–241 (2001)

    Article  Google Scholar 

  4. Lanxun, W., Chao, Y., Jiao, P.: An audio watermark embedding algorithm based on mean-quantization in wavelet domain. In: 8th International Conference on Electronic Measurement and Instruments, pp. 2-423–2-425 (2007)

    Google Scholar 

  5. Kalantari, N., Ahadi, S., Kashi, A.: A robust audio watermarking scheme using mean quantization in the wavelet transform domain. In: IEEE International Symposium on Signal Processing and Information Technology, pp. 198–201 (2007)

    Google Scholar 

  6. Zhou, Z., Zhou, L.: A novel algorithm for robust audio watermarking based on quantification DCT domain. In: Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP 2007), vol. 1, pp. 441–444 (2007)

    Google Scholar 

  7. Tu, R., Zhao, J.: A novel semi-fragile audio watermarking scheme. In: Proceedings of the 2nd IEEE Internatioal Workshop on Haptic, Audio and Visual Environments and Their Applications (HAVE 2003), pp. 89–94 (2003)

    Google Scholar 

  8. Quan, X., Zhang, H.: Perceptual criterion based fragile audio watermarking using adaptive wavelet packets. In: Proceedings of the 17th International Conference on Pattern Recognition (ICPR 2004), vol. 2, pp. 867–870 (2004)

    Google Scholar 

  9. Kundur, D., Hatzinakos, D.: Digital watermarking for telltale tamper proofing and authentication. Proceedings of the IEEE 87(7), 1167–1180 (1999)

    Article  Google Scholar 

  10. Voyatzis, G., Pitas, I.: Applications of toral automorphisms in image watermarking. In: Proceedings of International Conference on Image Processing, vol. 1, pp. 237–240 (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bhat K., V., Sengupta, I., Das, A. (2008). Audio Watermarking Based on Quantization in Wavelet Domain. In: Sekar, R., Pujari, A.K. (eds) Information Systems Security. ICISS 2008. Lecture Notes in Computer Science, vol 5352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89862-7_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-89862-7_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89861-0

  • Online ISBN: 978-3-540-89862-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics