• DocumentCode
    1032017
  • Title

    Robust audio watermarking using frequency-selective spread spectrum

  • Author

    Malik, Haroon ; Ansari, Rashid ; Khokhar, Ashfaq

  • Author_Institution
    ECE Dept., Univ. of Michigan, Dearborn, MI
  • Volume
    2
  • Issue
    4
  • fYear
    2008
  • fDate
    12/1/2008 12:00:00 AM
  • Firstpage
    129
  • Lastpage
    150
  • Abstract
    A novel audio watermarking scheme based on frequency-selective spread spectrum (FSSS) technique is presented. Unlike most of the existing spread spectrum (SS) watermarking schemes that use the entire audible frequency range for watermark embedding, the proposed scheme randomly selects subband(s) signal(s) of the host audio signal for watermark embedding. The proposed FSSS scheme provides a natural mechanism to exploit the band-dependent frequency-masking characteristics of the human auditory system to ensure the fidelity of the host audio signal and the robustness of the embedded information. Key attributes of the proposed scheme include reduced host interference in watermark detection, better fidelity, secure embedding and improved multiple watermark embedding capability. To detect the embedded watermark, two blind watermark detection methods are examined, one based on normalised correlation and the other based on estimation correlation. Extensive simulation results are presented to analyse the performance of the proposed scheme for various signal manipulations and standard benchmark attacks. A comparison with the existing full-band SS-based schemes is also provided to show the improved performance of the proposed scheme.
  • Keywords
    audio signal processing; correlation methods; watermarking; band-dependent frequency-masking characteristics; blind watermark detection methods; estimation correlation; frequency-selective spread spectrum technique; host audio signal; human auditory system; normalised correlation; robust audio watermarking;
  • fLanguage
    English
  • Journal_Title
    Information Security, IET
  • Publisher
    iet
  • ISSN
    1751-8709
  • Type

    jour

  • DOI
    10.1049/iet-ifs:20070145
  • Filename
    4711474