• DocumentCode
    1742190
  • Title

    Enhanced significance-linked connected component analysis for high performance error resilient wavelet image coding

  • Author

    Vass, Jozsef ; Zhuang, Xinhua

  • Author_Institution
    Eyeball.com Network Inc., Vancouver, BC, Canada
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    71
  • Abstract
    Error resilient coding strategies are proposed and integrated with the high performance significance-linked connected component analysis (SLCCA) wavelet image codec. First, the source bitstream is packetized so that the error propagation within the bitstream is minimized. Second, hierarchical resynchronization is applied, i.e., resynchronization markers are inserted in the bitstream after each bit-plane and possibly per each scale or subband. Third, the significance-links that exploit the cross-scale dependency of wavelet coefficients are reduced. Finally, bit-plane-wise unequal error protection is applied, with the parity bits being exponentially distributed among bit-planes. Extensive performance evaluation over a binary symmetric channel demonstrates the high error resilience and efficiency of the integrated joint source-channel coding strategies with the SLCCA source codec
  • Keywords
    codecs; image coding; synchronisation; wavelet transforms; binary symmetric channel; bit-plane-wise unequal error protection; cross-scale dependency; enhanced significance-linked connected component analysis; error propagation; hierarchical resynchronization; high performance error resilient wavelet image coding; integrated joint source-channel coding strategies; parity bits; performance evaluation; resynchronization markers; wavelet coefficients; Bit error rate; Codecs; Computer errors; Decoding; Image analysis; Image coding; NASA; Performance analysis; Wavelet analysis; Wavelet coefficients;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.903488
  • Filename
    903488