• DocumentCode
    1733780
  • Title

    A fuzzy gradient-adaptive lossy predictive coding technique

  • Author

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

  • Author_Institution
    Dept. of Electr. Eng., Alexandria Univ., Egypt
  • fYear
    2003
  • Lastpage
    42380
  • Abstract
    In this paper a new adaptive fuzzy predictive coding system is introduced. The proposed coder employs the adaptive fuzzy prediction methodology developed in [Tian-Hu Yu, 1998]. This results in better prediction of smooth as well as edge regions. In addition, the proposed coder adopts a novel fuzzy gradient-adaptive quantization scheme that switches between three well-designed nonuniform quantizers depending on the local gradient of the pixel to be coded. This, in turn, leads to reduced quantization errors in both smooth and edge regions and consequently higher perceptual quality of reconstructed images is achieved.
  • Keywords
    adaptive codes; data compression; fuzzy logic; gradient methods; image coding; image reconstruction; prediction theory; adaptive fuzzy predictive coding system; gradient-adaptive quantization scheme; image coding; image compression; image reconstruction; perceptual quality; quantization error reduction; reconstructed images; switched quantization; Bit rate; Decoding; Entropy; Fuzzy logic; Fuzzy systems; Image coding; Image storage; Predictive coding; Pulse modulation; Quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radio Science Conference, 2003. NRSC 2003. Proceedings of the Twentieth National
  • Print_ISBN
    977-5031-75-3
  • Type

    conf

  • DOI
    10.1109/NRSC.2003.1217338
  • Filename
    1217338