• DocumentCode
    3250173
  • Title

    A new fuzzy gradient-adaptive lossy predictive coding system

  • Author

    El-Khamy, Said E. ; El-Yamany, Noha A.

  • Author_Institution
    Dept. of Electr. Eng., Alexandria Univ., Egypt
  • fYear
    2003
  • fDate
    15-18 June 2003
  • Firstpage
    683
  • Lastpage
    687
  • Abstract
    In this paper a new fuzzy logic-based lossy predictive coding system for gray-scale still image compression is developed. The proposed coder employs a recently introduced adaptive fuzzy prediction methodology in the predictor design. In addition, it adopts a novel fuzzy gradient-adaptive quantization scheme. The proposed coding technique possesses superior performance over its non-fuzzy linear counterparts especially at low bit quantization. This is due to the inherent adaptivity in the fuzzy prediction methodology as well as the gradient-adaptive quantization scheme. Simulation results are provided to demonstrate the efficient performance of the proposed fuzzy predictive coding system.
  • Keywords
    data compression; fuzzy logic; gradient methods; image coding; fuzzy gradient-adaptive quantization; gray-scale still image compression; lossy predictive coding system; performance; Decoding; Fuzzy logic; Fuzzy systems; Gray-scale; Image coding; Image reconstruction; Image storage; Predictive coding; Pulse modulation; Quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications, 2003. SPAWC 2003. 4th IEEE Workshop on
  • Print_ISBN
    0-7803-7858-X
  • Type

    conf

  • DOI
    10.1109/SPAWC.2003.1319048
  • Filename
    1319048