• DocumentCode
    3265696
  • Title

    Bi-level image compression with tree coding

  • Author

    Martins, Bo ; Forchhammer, Soren

  • Author_Institution
    Dept. of Telecommun., Tech. Univ., Lyngby, Denmark
  • fYear
    1996
  • fDate
    Mar/Apr 1996
  • Firstpage
    270
  • Lastpage
    279
  • Abstract
    Presently, tree coders are the best bi-level image coders. The current ISO standard, JBIG, is a good example. By organising code length calculations properly a vast number of possible models (trees) can be investigated within reasonable time prior to generating code. Three general-purpose coders are constructed by this principle. A multi-pass free tree coding scheme produces superior compression results for all test images. A multi-pass fast free template coding scheme produces much better results than JBIG for difficult images, such as halftonings. Rissanen´s algorithm `Context´ is presented in a new version that without sacrificing speed brings it close to the multi-pass coders in compression performance
  • Keywords
    code standards; data compression; image coding; prediction theory; telecommunication standards; ISO standard; JBIG; Rissanen´s algorithm Context; bi-level image compression; code length calculations; compression performance; general-purpose coders; halftonings; image coders; multi-pass fast free template coding scheme; multi-pass free tree coding scheme; predictive coding; tree coders; tree coding; Arithmetic; Image coding; Predictive coding; Probability; State estimation; Statistics; Stochastic processes; Testing; Tree data structures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1996. DCC '96. Proceedings
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-8186-7358-3
  • Type

    conf

  • DOI
    10.1109/DCC.1996.488332
  • Filename
    488332