• DocumentCode
    309726
  • Title

    Low-power image decoding using fractals

  • Author

    Masselos, K. ; Merakos, P. ; Stouraitis, T. ; Goutis, C.E.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Patras Univ., Greece
  • Volume
    2
  • fYear
    1996
  • fDate
    13-16 Oct 1996
  • Firstpage
    748
  • Abstract
    In this paper a low-power evaluation of image decoding using fractals is presented. Fractal coding is asymmetrical in nature meaning that the encoder and the decoder have not the same computational complexity. Although fractal encoding is very complex in terms of computation, the computational requirements of fractal decoding are very small favoring low power consumption. Structural algorithmic properties of fractal decoding also favor low-power. Comparison with other classical decoding techniques shows that significant power savings can be achieved by using fractal decoding. This is very important for portable applications if the fact that the decoder is usually the mobile part of a system is taken into consideration
  • Keywords
    decoding; fractals; image coding; computational complexity; fractals; low-power image decoding; portable applications; structural algorithm; Computational complexity; Decoding; Design optimization; Encoding; Energy consumption; Fractals; Image coding; Laboratories; Portable computers; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on
  • Conference_Location
    Rodos
  • Print_ISBN
    0-7803-3650-X
  • Type

    conf

  • DOI
    10.1109/ICECS.1996.584470
  • Filename
    584470