• DocumentCode
    304663
  • Title

    MAP decoding of gray-level images over binary channels with memory

  • Author

    Alajaji, Fady ; Burlina, Philippe ; Chellappa, Rama

  • Author_Institution
    Dept. of Math. & Stat., Queen´´s Univ., Kingston, Ont., Canada
  • Volume
    1
  • fYear
    1996
  • fDate
    16-19 Sep 1996
  • Firstpage
    29
  • Abstract
    A joint source-channel coding technique is proposed for transmitting grey-level images over a binary channel with additive Markov noise. In this scheme, inherent or residual (after source coding) image redundancy is exploited at the receiver in an appropriately designed MAP detector. Two methods are presented. The first method relies on MAP decoding of uncompressed bit-plane encoded images. The second method deals with compressed images (DCT coded and quantized) and uses unequal error protection along with the MAP detection procedure. Experimental results demonstrate that particularly during bad channel conditions, significant performance improvements can be achieved
  • Keywords
    Markov processes; channel coding; discrete cosine transforms; image coding; maximum likelihood decoding; maximum likelihood detection; noise; quantisation (signal); redundancy; source coding; telecommunication channels; transform coding; DCT coding; MAP decoding; MAP detector; additive Markov noise; binary channels; gray-level images; image redundancy; image transmission; memory; performance; quantized images; source coding; source-channel coding technique; uncompressed bit-plane encoded images; unequal error protection; Additive noise; Channel capacity; Decoding; Delay; Detectors; Error correction codes; Image coding; Random access memory; Redundancy; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1996. Proceedings., International Conference on
  • Conference_Location
    Lausanne
  • Print_ISBN
    0-7803-3259-8
  • Type

    conf

  • DOI
    10.1109/ICIP.1996.560593
  • Filename
    560593