• DocumentCode
    2737016
  • Title

    Significant coefficient decomposition based stack X-tree multiple description coding

  • Author

    Cai, Canhui ; Chen, Jing ; Ding, Runtao

  • Author_Institution
    Inst. of Inf. Sci. & Technol., Huaqiao Univ., Fujian, China
  • Volume
    2
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    1181
  • Abstract
    A new multiple description coding approach is presented in this paper. In this approach, first each significant wavelet coefficient is decomposed into two coefficients. One is made from the bits in the odd positions, whereas, the other is made from the bits in the even positions. These two types of coefficients are then grouped into two sub-signals. Two descriptions of coded data are formed from these sub-signals and transmitted over different channels. To realize a balance multiple description coding, data from different sub-signals are knitted to produce two descriptions. Experimental results have shown that the performances of the proposed scheme are better than those of the polyphase transform and selective quantization one.
  • Keywords
    image coding; data coding; polyphase transform; selective quantization; stack X-tree multiple description coding; wavelet coefficient decomposition; Decoding; Image coding; Image reconstruction; Information retrieval; Information science; Information theory; Quantization; Rate-distortion; Robustness; Wavelet coefficients;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    0-7803-7702-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2003.1281080
  • Filename
    1281080