• DocumentCode
    2984557
  • Title

    Key independent watermark detection

  • Author

    Van Schyndel, R.G. ; Tirkel, A.Z. ; Svalbe, I.D.

  • Author_Institution
    Dept. of Phys., Monash Univ., Clayton, Vic., Australia
  • Volume
    1
  • fYear
    1999
  • fDate
    36342
  • Firstpage
    580
  • Abstract
    Many types of pseudo-random signals have been used to embed signatures as watermarks, with spread spectrum signal techniques used to recover the signature from the encrypted data. Legendre sequences are a suitable candidate for signature encryption as they exhibit `perfect´ two level auto-correlation. Additionally Legendre sequences have the unusual and interesting property of invariance under Fourier transformation; the spatial and frequency representation of each sequence is identical up to a phase factor. The presence of a Legendre-based watermark, embedded in the pixel or transform domain, can be detected by cross-correlating a sequence-encrypted image with its Fourier transform. This property enables verification of the presence of a watermark (of specified length), without requiring prior knowledge of the sequence type or key used for the encryption
  • Keywords
    Fourier transforms; copyright; cryptography; image coding; multimedia systems; Fourier transform; Legendre sequences; Legendre-based watermark; encrypted data; frequency representation; key independent watermark detection; multimedia; pixel; pseudo-random signals; sequence-encrypted image; signature encryption; spatial representation; spread spectrum signal techniques; two level auto-correlation; Autocorrelation; Cryptography; Data security; Discrete Fourier transforms; Fourier transforms; Frequency; Physics; Pixel; Spread spectrum communication; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Systems, 1999. IEEE International Conference on
  • Conference_Location
    Florence
  • Print_ISBN
    0-7695-0253-9
  • Type

    conf

  • DOI
    10.1109/MMCS.1999.779265
  • Filename
    779265