• DocumentCode
    2021850
  • Title

    Implications for high capacity data hiding in the presence of lossy compression

  • Author

    Kundur, Deepa

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    16
  • Lastpage
    21
  • Abstract
    We derive capacity bounds for watermarking and data hiding in the presence of just noticeable difference (JND) perceptual coding for a class of techniques that do not suffer from host signal interference. By modeling the lossy compression distortions on the hidden data using non-Gaussian statistics, we demonstrate that binary antipodal channel codes achieve capacity. It is shown that the data hiding capacity is at most equal to the loss in storage efficiency bit rate if watermarking and quantization for lossy compression occur in the same domain
  • Keywords
    channel capacity; channel coding; data compression; data encapsulation; quantisation (signal); security of data; JND perceptual coding; binary antipodal channel codes; capacity bounds; high capacity data hiding; just noticeable difference; lossy compression distortions; multimedia signal; nonGaussian statistics; quantization; storage efficiency bit rate; watermarking; Bit rate; Data encapsulation; Educational institutions; Information retrieval; Quantization; Read only memory; Signal design; Signal processing; Statistics; Water storage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: Coding and Computing, 2000. Proceedings. International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    0-7695-0540-6
  • Type

    conf

  • DOI
    10.1109/ITCC.2000.844177
  • Filename
    844177