• DocumentCode
    1998296
  • Title

    Distributed multiple description image coding

  • Author

    Majid, Muhammad ; Abhayaratne, Charith

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Univ. of Sheffield, Sheffield, UK
  • fYear
    2009
  • fDate
    5-7 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper a new method for robust image transmission over lossy channels using distributed multiple description coding is presented. We propose an efficient yet a simple method for encoding each description from multiple description scalar quantizer by exploiting the correlation information among descriptions. In this way the correlated information which we call side information can be extracted at the decoder from each description. The motivation to such a type of encoding is to improve the side decoding and to increase the overall robustness of the scheme. Simulation results show that the side distortion is comparable with the central decoding distortion. Performance evaluation of the proposed approach over packet erasure channel shows 0.2-0.7 dB improvement compared to simple multiple description coding that uses non-distributed multiple description scalar quantizer and demonstrates the effectiveness of the scheme over lossy channels.
  • Keywords
    decoding; distortion; image coding; central decoding distortion; distributed multiple description image coding; image transmission; lossy channels; multiple description scalar quantizer; side decoding; side distortion; Data mining; Decoding; Error correction; Forward error correction; Image coding; Image reconstruction; Propagation losses; Quantization; Resilience; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing, 2009. MMSP '09. IEEE International Workshop on
  • Conference_Location
    Rio De Janeiro
  • Print_ISBN
    978-1-4244-4463-2
  • Electronic_ISBN
    978-1-4244-4464-9
  • Type

    conf

  • DOI
    10.1109/MMSP.2009.5293328
  • Filename
    5293328