• DocumentCode
    536166
  • Title

    Adaptive-distributed arithmetic coding for lossless compression

  • Author

    Wu, Jiaji ; Wang, Minli ; Jeong, Jechang ; Jiao, Licheng

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Hanyang Univ., Seoul, South Korea
  • fYear
    2010
  • fDate
    24-26 Sept. 2010
  • Firstpage
    541
  • Lastpage
    545
  • Abstract
    Distributed arithmetic coding (DAC) is an effective implementation of Slepian-Wolf coding (SWC), especially for short data blocks. However, currently, most of the DAC research methods focus on the lossy compression on the condition that the prior knowledge is known in advance. In order to realize lossless and adaptive compression, in this paper, we propose lossless adaptive-distributed arithmetic coding (LADAC) using the method of EOF (end of the file) and the adaptive encoding. In our proposed LADAC, encoder and decoder can work simultaneously instead of alternatively, and encoder-driven method is also achieved without a feedback channel instead of decoder-driven. Experimental results show that LADAC performs the better compression performance and the lower complexity than conventional lossless distributed arithmetic coding (LDAC).
  • Keywords
    adaptive codes; arithmetic codes; data compression; DAC; DAC research methods; LADAC; SWC; Slepian-Wolf coding; adaptive compression; decoder-driven method; encoder-driven method; end of the file method; lossless adaptive-distributed arithmetic coding; lossless compression; Codecs; Complexity theory; Decoding; Encoding; Entropy; Image coding; Measurement; Distributed source coding; Slepian-Wolf coding; Wyner-Ziv coding; arithmetic coding; compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Infrastructure and Digital Content, 2010 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6851-5
  • Type

    conf

  • DOI
    10.1109/ICNIDC.2010.5657825
  • Filename
    5657825