• DocumentCode
    3410259
  • Title

    Fractal based image compression with affine transformations

  • Author

    Raittinen, H. ; Kaski, Kimmo

  • Author_Institution
    Dept. of Electr. Eng., Tampere Univ. of Technol., Finland
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    244
  • Lastpage
    253
  • Abstract
    As the needs for information transfer and storage increase, data coding and compression become increasingly important in applications such as digital HDTV, telefax, ISDN and image data bases. The authors have developed a fractal image compression method and tested it with binary (black and white) images. The decoded results are similar to the original images. The compression ratios are found to be extremely high
  • Keywords
    ISDN; data compression; fractals; high definition television; image coding; visual databases; ISDN; affine transformations; compression ratios; data coding; digital HDTV; fractal image compression; image data bases; telefax; Extraterrestrial measurements; Fractals; Image coding; Image storage; Inverse problems; Iterative decoding; Nearest neighbor searches; Simulated annealing; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1993. DCC '93.
  • Conference_Location
    Snowbird, UT
  • Print_ISBN
    0-8186-3392-1
  • Type

    conf

  • DOI
    10.1109/DCC.1993.253125
  • Filename
    253125