• DocumentCode
    2905866
  • Title

    Fractal scanning for image compression

  • Author

    Thyagarajan, K.S. ; Chatterjee, Shankar

  • Author_Institution
    Dept. of Electr. & Comput. Eng., San Diego State Univ., CA, USA
  • fYear
    1991
  • fDate
    4-6 Nov 1991
  • Firstpage
    467
  • Abstract
    The authors describe an alternative scanning technique called fractal scanning for images different from the usual raster scan which increases the image correlation. The increased correlation can be better exploited to achieve higher image compression. The scanning procedure uses a basic 4×4 pattern recursively to scan an image. Various possible quantization procedures are outlined, with an emphasis on the design of vector quantizers for the rescanned images. The scanned image is vector-quantized to achieve image compression. Experimental results are given
  • Keywords
    bandwidth compression; fractals; picture processing; video signals; design; fractal scanning; image compression; quantization procedures; rescanned images; vector quantizers; video bandwidth compression; Bandwidth; Buffer storage; Data communication; Data compression; Digital images; Fractals; Image coding; Pixel; Source coding; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    0-8186-2470-1
  • Type

    conf

  • DOI
    10.1109/ACSSC.1991.186493
  • Filename
    186493