Circuits, Systems, and Signal Processing

, Volume 30, Issue 5, pp 915–927 | Cite as

A New Audio Watermarking Scheme Based on Singular Value Decomposition and Quantization

  • Vivekananda Bhat K
  • Indranil Sengupta
  • Abhijit Das


In this paper, we propose a new robust and blind audio watermarking algorithm based on singular value decomposition and quantization index modulation. The watermark insertion and extraction methods are based on quantization of the norm of singular values of the blocks. Audio quality evaluation tests show high imperceptibility of the watermark in the audio signal. Simulation results demonstrate that this algorithm is robust against signal-processing and stirmark attacks. The false negative error probability under the proposed scheme is close to zero. Moreover, the proposed algorithm has higher data payload and better performance than the other related audio watermarking schemes available in the literature.


Audio watermarking False negative error (FNE) Quantization index modulation (QIM) Singular value decomposition (SVD) 


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  1. 1.
    M.A. Akhaee et al., Robust audio data hiding using correlated quantization with histogram-based detector. IEEE Trans. Multimed. 11, 834–842 (2009) CrossRefGoogle Scholar
  2. 2.
    M. Arnold, Subjective and objective quality evaluation of watermarked audio tracks, in Proceedings of the First International Symposium on Cyber Worlds (CW’02) (2002), pp. 161–168 Google Scholar
  3. 3.
    P. Basia, I. Pitas, N. Nikolaidis, Robust audio watermarking in the time domain. IEEE Trans. Multimed. 3(2), 232–241 (2001) CrossRefGoogle Scholar
  4. 4.
    V. Bhat K, I. Sengupta, A. Das, An adaptive audio watermarking based on the singular value decomposition in the wavelet domain. Digit. Signal Process. 20, 1547–1558 (2010) CrossRefGoogle Scholar
  5. 5.
    V. Bhat K, I. Sengupta, A. Das, An audio watermarking scheme using singular value decomposition and dither-modulation quantization. Multimed. Tools Appl. (2010). doi: 10.1007/s11042-010-0515-1
  6. 6.
    C.-C. Changa, P. Tsaib, C.-C. Lin, SVD-based digital image watermarking scheme. Pattern Recognit. Lett. 26(10), 1577–1586 (2005) CrossRefGoogle Scholar
  7. 7.
    I.J. Cox, J. Kilian, T. Leighton, T. Shamoon, Secure spread spectrum watermarking for multimedia. IEEE Trans. Image Process. 6(12), 1673–1687 (1997) CrossRefGoogle Scholar
  8. 8.
    I. Cox, M. Miller, J. Bloom, J. Fridrich, T. Kalke, Digital Watermarking and Steganography, 2nd edn. (Morgan Kaufmann, San Mateo, 2007) Google Scholar
  9. 9.
    N. Cvejic, T. Seppanen, Spread spectrum audio watermarking using frequency hopping and attack characterization. Signal Process. 84(1), 207–213 (2004) zbMATHCrossRefGoogle Scholar
  10. 10.
    N. Cvejic, T. Seppanen, Digital Audio Watermarking Techniques and Technologies (Information Science Reference, Hershey, 2007) CrossRefGoogle Scholar
  11. 11.
    M. Fan, H. Wang, Chaos-based discrete fractional Sine transform domain audio watermarking scheme. Comput. Electr. Eng. 35(3), 506–516 (2009) MathSciNetzbMATHCrossRefGoogle Scholar
  12. 12.
    S. Katzenbeisser, F.A.P. Petitcolas, Information Hiding Techniques for Steganography and Digital Watermarking (Artech House, Boston, 2000) Google Scholar
  13. 13.
    B.-S. Ko, R. Nishimura, Y. Suzuki, Time-spread echo method for digital audio watermarking. IEEE Trans. Multimed. 7(2), 212–221 (2005) CrossRefGoogle Scholar
  14. 14.
    L. Lamarche, Y. Liu, J. Zhao, Flaw in SVD-based watermarking, in Canadian Conference on Electrical and Computer Engineering (CCECE ’06) (2006), pp. 2082–2085 CrossRefGoogle Scholar
  15. 15.
    A. Lang, StirMark Benchmark for Audio (SMBA), 2005.
  16. 16.
    A. Lerch, Zplane development, EAQUAL-Evaluate Audio QUALity, Version: 0.1.3alpha,, 2002
  17. 17.
    P.Y. Liew, M.A. Armand, Inaudible watermarking via phase manipulation of random frequencies. Multimed. Tools Appl. 35(3), 357–377 (2007) CrossRefGoogle Scholar
  18. 18.
    R. Liu, T. Tan, An SVD-based watermarking scheme for protecting rightful ownership. IEEE Trans. Multimed. 4, 121–128 (2002) CrossRefGoogle Scholar
  19. 19.
    R. Martinez-Noriega, M. Nakano, B. Kurkoski, K. Yamaguchi, K. Kobayashi, Analysis of QIM-based audio watermarking using LDPC codes, in IEEE International Midwest Symposium on Circuits and Systems (2009), pp. 726–729 CrossRefGoogle Scholar
  20. 20.
    H. Ozer, B. Sankur, N. Memon, An SVD-based audio watermarking technique, in Seventh ACM Workshop on Multimedia and Security (2005), pp. 51–56 CrossRefGoogle Scholar
  21. 21.
    M. Steinebach, F.A.P. Petitcolas, F. Raynal, J. Dittmann, C. Fontaine, S. Seibel, N. Fates, L.C. Ferri, StirMark benchmark: audio watermarking attacks, in Proceedings. International Conference on Information Technology: Coding and Computing (2001), pp. 49–54 CrossRefGoogle Scholar
  22. 22.
    T. Thielde et al., PEAQ-The ITU standard for objective measurement of perceived audio quality. J. Audio Eng. Soc. 48, 3–29 (2000) Google Scholar
  23. 23.
    S. Wu, J. Huang, D. Huang, Y.Q. Shi, Efficiently self-synchronized audio watermarking for assured audio data transmission. IEEE Trans. Broadcast. 51(1), 69–76 (2005) CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Vivekananda Bhat K
    • 1
  • Indranil Sengupta
    • 1
  • Abhijit Das
    • 1
  1. 1.Department of Computer Science and EngineeringIndian Institute of TechnologyKharagpurIndia

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