• DocumentCode
    2315874
  • Title

    SNR Based Audio Watermarking Scheme for Blind Detection

  • Author

    Patil, Meenakshi R. ; Apte, S.D.

  • Author_Institution
    Dr. J.J.M.C.O.E., Jaysingpur
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    1278
  • Lastpage
    1283
  • Abstract
    Audio watermarking method presented in this paper embeds the watermark data in the wavelet domain and performs the blind detection of the watermark. To embed the watermark the additive watermark embedding approach is used in which scaling parameter is computed based on the SNR (signal to noise ratio). The technique is implemented in DWT domain. 32 times 32 binary image is used as the watermark data. The SNR based adaptive watermarking scheme[6] and the proposed scheme for blind detection are implemented their results are presented here. The techniques are tested against different signal manipulation processing such as filtering, resampling, compression, cropping and requantization. The host audio signal used foe the experimentation is the Indian musical signal. It is observed that the technique is resilient against various signal manipulation attacks.
  • Keywords
    audio coding; discrete wavelet transforms; watermarking; SNR; audio watermarking scheme; blind detection; compression processing; cropping processing; filtering processing; requantization processing; resampling processing; signal manipulation attacks; signal manipulation processing; signal to noise ratio; wavelet domain; Additive noise; Discrete wavelet transforms; Embedded computing; Filtering; Image coding; Signal processing; Signal to noise ratio; Testing; Watermarking; Wavelet domain; Audio Signal; Discrete wavelet transform; secret key; watermark;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Engineering and Technology, 2008. ICETET '08. First International Conference on
  • Conference_Location
    Nagpur, Maharashtra
  • Print_ISBN
    978-0-7695-3267-7
  • Electronic_ISBN
    978-0-7695-3267-7
  • Type

    conf

  • DOI
    10.1109/ICETET.2008.174
  • Filename
    4580101