• DocumentCode
    2154180
  • Title

    Image compression based on p-tree

  • Author

    Li-yangchun

  • Author_Institution
    Department of computer science & technologe, Xianning College, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    4550
  • Lastpage
    4553
  • Abstract
    Many mature approaches to lossy compression of digital image have been proposed. In this paper, we present a novel lossless compression approach to digital image based on p-tree[1]. We apply our algorithm to encode and decode 2 randomly selected images using VC. The experimental results demonstrate that the approach based on p-tree is efficient in compressing the binary images corresponding to the significant bits in the bytes. What´s more, the principle of the encoding and decoding is very simple and the operation is timesaving.
  • Keywords
    Computer science; Decision support systems; Digital images; Educational institutions; Image coding; Remote sensing; binary image; lossless compression; p-tree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5691494
  • Filename
    5691494