• DocumentCode
    1872063
  • Title

    Lowcomplexity M-channel multiple description coding with two-rate predictive coding and staggered quantization

  • Author

    Samarawickrama, Upul ; Liang, Jie

  • Author_Institution
    Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    2044
  • Lastpage
    2047
  • Abstract
    This paper presents a new low complexity multiple description coding (MDC) method that can generate any number of descriptions. For correlated sources, a special DPCM encoder is used in each description, such that it carries higher rate information of a subset of the samples and lower rate information of the rest. The lower rate codings in different descriptions are designed to be mutually refinable using staggered scalar quantizers. The closed-form expression of the expected distortion is derived when an arbitrary subset of the descriptions are received. Experimental results on natural images using lapped transform show that the proposed method is competent with the state-of-the-art multiple description image coders.
  • Keywords
    channel coding; codecs; distortion; image coding; quantisation (signal); transform coding; transforms; DPCM encoder; M-channel multiple description coding; image coding; lapped transforms; multiple description image coders; staggered scalar quantizers; two-rate predictive coding; Bit rate; Closed-form solution; Communication networks; Decoding; Image coding; Image reconstruction; Information theory; Predictive coding; Quantization; Rate-distortion; Multiple description Coding; Predictive coding; image coding; information theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1765-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2008.4712187
  • Filename
    4712187