• DocumentCode
    2387174
  • Title

    High fidelity and lower bit-rate predicted image coding system

  • Author

    Tsang, Peter W M ; Lee, W.T.

  • Author_Institution
    Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, Hong Kong
  • Volume
    2
  • fYear
    1996
  • fDate
    26-29 Nov 1996
  • Firstpage
    780
  • Abstract
    Vector quantization (VQ) is a popular method commonly used in low cost compression of still image. However, there are a number of disadvantages such as high complexity of the encoder and the blocking effect in the decoded image. These problems can be partially overcome by predicted vector quantization (PVQ) which employs spatial prediction to reduce the complexity of the encoder and to improve the pictorial quality. Three novel predictive schemes that are applied to the existing PVQ system are introduced. From the experimental results, the improvement of the suggested scheme is significant both in quantitative and qualitative tests
  • Keywords
    channel capacity; decoding; image coding; prediction theory; vector quantisation; PVQ system; blocking effect; decoded image; encoder complexity; experimental results; high fidelity image coding system; low bit rate coding; pictorial quality; predicted image coding system; predicted vector quantization; predictive schemes; qualitative tests; quantitative tests; spatial prediction; still image compression; vector quantization; Approximation methods; Bit rate; Costs; Decoding; Image coding; Image reconstruction; Pixel; Signal processing; Testing; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-3679-8
  • Type

    conf

  • DOI
    10.1109/TENCON.1996.608444
  • Filename
    608444