Skip to main content

A Novel Digital Audio Watermarking Algorithm Based on Wavelet Transforming

  • Conference paper
Intelligence Computation and Evolutionary Computation

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 180))

  • 3299 Accesses

Abstract

With the rapid development of information technology, more and more digital mediums like video, audio can be available online, which brings convenience to peoples’ daily life and also results in the copyright violation. How to protect the copyright of digital mediums when transferring them over internet becomes a challenging problem. As a promising way, watermarking technology attracts some attentions. Yet there are still some shortcomings, like medium quality changing and low robustness which hinder its further application. Regarding this problem, a digital audio watermarking algorithm based on wavelet transforming is proposed and the workflow of this algorithm is described in detail. The result of simulation experiment shows that the proposed algorithm has capabilities of robustness, inaudibility and authenticity.

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 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
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. Chung, T.-Y., et al.: Digital watermarking for copyright protection of MPEG2 compressed video. IEEE Transactions on Consumer Electronics 44(3), 895–901 (1998)

    Article  Google Scholar 

  2. Wang, X.-Y., et al.: A new content-based digital audio watermarking algorithm for copyright protection. Association for Computing Machinery, Shanghai (2004)

    Google Scholar 

  3. Cai, L., Zhao, J.: Audio quality measurement by using digital watermarking. Institute of Electrical and Electronics Engineers Inc., Niagara Falls (2004)

    Google Scholar 

  4. Mazurczyk, W., Kotulski, Z.: New VoIP traffic security scheme with digital watermarking. Springer, Gdansk (2006)

    Google Scholar 

  5. Zezula, R., Miurec, J.: Audio digital watermarking algorithm based on SVD in MCLT domain. Inst. of Elec. and Elec. Eng. Computer Society, Cancun (2008)

    Google Scholar 

  6. Chang, C.-Y., Shen, W.-C., Wang, H.-J.: Using counter-propagation neural network for robust digital audio watermarking in DWT domain. Institute of Electrical and Electronics Engineers Inc., Taipei (2007)

    Google Scholar 

  7. Robert, A., Knopp, R.: Detection theory and digital watermarking. SPIE, San Jose (2000)

    Google Scholar 

  8. Hu, J., Qiu, X.-M., He, D.-T.: Digital audio watermarking algorithm based on neural networks. Inst. of Elec. and Elec. Eng. Computer Society, Chengdu (2008)

    Google Scholar 

  9. Triet, T.M., Duc, D.A.: Applying the psychoacoustic audio watermarking technique in Internet Digital Traditional Music Museum in Vietnam. Institute of Electrical and Electronics Engineers Inc., Albuquerque (2004)

    Google Scholar 

  10. Niu, X., Yang, Y.: New algorithm for digital watermarking based on the wavelet transform. Jisuanji Xuebao/Chinese Journal of Computers 23(1), 21–27 (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yanjun, L. (2013). A Novel Digital Audio Watermarking Algorithm Based on Wavelet Transforming. In: Du, Z. (eds) Intelligence Computation and Evolutionary Computation. Advances in Intelligent Systems and Computing, vol 180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31656-2_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31656-2_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31655-5

  • Online ISBN: 978-3-642-31656-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics