Skip to main content

A Blind Watermarking Algorithm for Audio Signals Based on Singular Value Decomposition

  • Conference paper
  • First Online:
Proceedings of the Third International Conference on Trends in Information, Telecommunication and Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 150))

  • 2041 Accesses

Abstract

This paper proposes a blind digital watermarking scheme for audio signals based on Singular Value Decomposition (SVD) and Quantization Index Modulation (QIM). The process involves a watermark using a binary image file which has been readjusted using Arnold Transform before being embedded into the host signal. Synchronization code is embedded into the audio signal so that the watermark has the capability of self-synchronization against attacks. Experimentation is done to check the robustness of the proposed scheme in the presence of various attacks. Experimental results indicate that the proposed scheme provides good imperceptibility and robustness under various signal processing attacks.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Bender W, Gruhl D, Morrimoto N, Lu A (1996) Techniques for data hiding IBM Syst J 35(3/4):313–336

    Article  Google Scholar 

  2. Brassil JT, Low S, Maxemchuk NF,O’Gorman L (1995) Electronic marking and identification techniques to discourage document copying. IEEE J Selected Areas in Commun 13(8):1495–1504

    Article  Google Scholar 

  3. Katzenbeisser S, Petitcolas F (2000) Information hiding techniques for steganography and digital watermarking. Artech House, London

    Google Scholar 

  4. Miller M; Cox I, Linnartz J-P, Kalker T (1999) A review of watermarking principles and practices. In: Parhi KK, Nishitani T (eds) Digital signal processing in multimedia systems, Marcel Dekker Inc., New York, pp 461–485

    Google Scholar 

  5. Voyatzis G, Pitas I (1996) Applications of toral automorphisms in image watermarking. In: Proceedings of international conference on image processing, vol 1, pp 273–240

    Google Scholar 

  6. Gordy JD, Bruton LT (2000) Performance evaluation of digital audio algorithms. In: Proceedings of the 43rd IEEE midwest symposium on circuits and systems, vol 1, pp 456–459

    Google Scholar 

  7. Shishkin AV (2011) Robust digital watermarks for audio signals. Radio Electron Commun Syst 54(3):138–146

    Article  Google Scholar 

  8. Dutta MK, Pathak VK, Gupta P (2010) A robust watermarking algorithm for audio signals using SVD. In: International conference on contemporary computing, CCIS vol 94, Part 1, pp 84–93

    Google Scholar 

  9. Singh J et al. (2012) Audio watermarking based on quantization index modulation using combined perceptual masking. Multimedia tools and applications, Springer, Heidelberg (in press)

    Google Scholar 

  10. Dutta MK, Pathak VK, Gupta P (2010) An adaptive robust watermarking algorithm for audio signals using SVD. Transactions on computational science, Springer Verlag Publishers, Heidelberg, pp 131–153

    Google Scholar 

  11. Lee S-J, Jung S-H (2001) A survey of watermarking techniques applied to multimedia. In: Proceedings of IEEE international symposium on industrial electronics (ISIE’01), vol 1, pp 272–277

    Google Scholar 

  12. Changa C-C, Tsaib P, Lin C-C (2005) SVD based digital watermarking scheme. Pattern Recog Lett 26(10):1577–1586

    Google Scholar 

  13. Chen B, Wornell GW (2001) Quantization index modulation: a class of provably good methods for digital watermarking and information embedding. IEEE T Inform Theory 47(4):1423–1443

    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 Science+Business Media New York

About this paper

Cite this paper

Murarka, A., Vashist, A., Dutta, M.K. (2013). A Blind Watermarking Algorithm for Audio Signals Based on Singular Value Decomposition. In: Das, V. (eds) Proceedings of the Third International Conference on Trends in Information, Telecommunication and Computing. Lecture Notes in Electrical Engineering, vol 150. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3363-7_57

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-3363-7_57

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-3362-0

  • Online ISBN: 978-1-4614-3363-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics