• DocumentCode
    2398261
  • Title

    Quadtree based JBIG compression

  • Author

    Fowler, B. ; Arps, R. ; Gamal, A. ; Yang, D.

  • Author_Institution
    Inf. Syst. Lab., Stanford Univ., CA, USA
  • fYear
    1995
  • fDate
    28-30 Mar 1995
  • Firstpage
    102
  • Lastpage
    111
  • Abstract
    A JBIG compliant, quadtree based, lossless image compression algorithm is described. In terms of the number of arithmetic coding operations required to code an image, this algorithm is significantly faster than previous JBIG algorithm variations. Based on this criterion, our algorithm achieves an average speed increase of more than 9 times with only a 5% decrease in compression when tested on the eight CCITT bi-level test images and compared against the basic non-progressive JBIG algorithm. The fastest JBIG variation that we know of, using “PRES” resolution reduction and progressive buildup, achieved an average speed increase of less than 6 times with a 7% decrease in compression, under the same conditions
  • Keywords
    arithmetic codes; data compression; image coding; quadtrees; CCITT bi-level test images; JBIG algorithm; arithmetic coding; image coding; lossless image compression algorithm; quadtree; Arithmetic; Circuits; Compression algorithms; Data structures; Facsimile; Image coding; Image resolution; Image sensors; Power system reliability; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1995. DCC '95. Proceedings
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-8186-7012-6
  • Type

    conf

  • DOI
    10.1109/DCC.1995.515500
  • Filename
    515500