• DocumentCode
    2845255
  • Title

    Image coding with finite state vector quantization utilizing extrapolation selection

  • Author

    Manikopoulos, C. ; Sun, H. ; Antoniou, G.

  • Author_Institution
    NJIT, Newark, NJ, USA
  • fYear
    1989
  • fDate
    27-30 Nov. 1989
  • Firstpage
    575
  • Abstract
    A novel extrapolation selection finite state vector quantizer (ESFSVQ) has been devised. The state codebook selection algorithm is based on linear extrapolation predictions from the immediate upper and left neighboring blocks of each incoming source vector. It may be characterized as a vector quantizer with memory. The main accomplishment of ESFSVQ is to assure access to a large master codebook for quantizing purposes, and thus achieve high image quality, while utilizing the low bit rate of a small state codebook, for the purpose of specifying the block label. A master codebook of 4*4 blocks of size 256, 512 or 1024, state codebook sizes of 32, 64, or 128 vectors, was employed in implementing ESFSVQ. The results have shown that high image quality can be achieved, upon image reconstruction, at coding bit rates of 0.30-0.45 b/pixel.<>
  • Keywords
    data compression; encoding; extrapolation; picture processing; adjacent upper/left blocks; extrapolation selection; finite state vector quantizer; image coding; image compression; image quality; image reconstruction; incoming source vector; linear extrapolation predictions; master codebook; state codebook selection algorithm; Bit rate; Decoding; Encoding; Extrapolation; Image coding; Statistics; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference and Exhibition 'Communications Technology for the 1990s and Beyond' (GLOBECOM), 1989. IEEE
  • Conference_Location
    Dallas, TX, USA
  • Type

    conf

  • DOI
    10.1109/GLOCOM.1989.64036
  • Filename
    64036