• DocumentCode
    3053642
  • Title

    Predictive fractal image coding: hybrid algorithms and compression of residuals

  • Author

    Freina, Thomas ; Uhl, Andreas

  • Author_Institution
    Dept. of Comput. Sci. & Syst. Anal., Salzburg Univ., Austria
  • fYear
    1998
  • fDate
    30 Mar-1 Apr 1998
  • Firstpage
    549
  • Abstract
    Summary form only given. The authors introduce hybrid algorithms which consist of a fractal predictor in the spatial domain with subsequent coding of the residual image (error-image between the fractal prediction and the image to compress). For coding the residual either wavelet (based on the SPIHT coder) or DCT based coding (as used in interframe compression, e.g. for B or P frames in H.261, MPEG-1,2) is employed. Additionally they contribute to the discussion about the performance of wavelet and DCT based algorithms for the compression of motion compensated error frames in interframe video coding algorithms since the residual images considered in the proposed hybrid algorithms exhibit similar (or even identical) statistical properties as motion compensated error frames
  • Keywords
    data compression; discrete cosine transforms; fractals; image coding; motion compensation; prediction theory; rate distortion theory; transform coding; video coding; wavelet transforms; DCT based coding; fractal predictor; hybrid algorithms; image compression; interframe video coding algorithms; motion compensated error frames; predictive fractal image coding; residual image; spatial domain; wavelet based coding; Algorithm design and analysis; Computer science; Discrete cosine transforms; Fractals; Image coding; Partitioning algorithms; Rate-distortion; Redundancy; Spatial resolution; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1998. DCC '98. Proceedings
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-8186-8406-2
  • Type

    conf

  • DOI
    10.1109/DCC.1998.672277
  • Filename
    672277