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

  • Ankit Murarka
  • Anshul Vashist
  • Malay Kishore Dutta
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 150)


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.


Digital watermarking Singular value decomposition Perceptual transparency 


  1. 1.
    Bender W, Gruhl D, Morrimoto N, Lu A (1996) Techniques for data hiding IBM Syst J 35(3/4):313–336CrossRefGoogle Scholar
  2. 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):1495–1504CrossRefGoogle Scholar
  3. 3.
    Katzenbeisser S, Petitcolas F (2000) Information hiding techniques for steganography and digital watermarking. Artech House, LondonGoogle Scholar
  4. 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 461–485Google Scholar
  5. 5.
    Voyatzis G, Pitas I (1996) Applications of toral automorphisms in image watermarking. In: Proceedings of international conference on image processing, vol 1, pp 273–240Google Scholar
  6. 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 456–459Google Scholar
  7. 7.
    Shishkin AV (2011) Robust digital watermarks for audio signals. Radio Electron Commun Syst 54(3):138–146CrossRefGoogle Scholar
  8. 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. 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. 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. 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. 12.
    Changa C-C, Tsaib P, Lin C-C (2005) SVD based digital watermarking scheme. Pattern Recog Lett 26(10):1577–1586Google Scholar
  13. 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):1423–1443Google Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Ankit Murarka
    • 1
  • Anshul Vashist
    • 1
  • Malay Kishore Dutta
    • 1
  1. 1.Department of Electronics and Communication Engineering, Amity School of Engineering and TechnologyAmity UniversityNoidaIndia

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