• DocumentCode
    280009
  • Title

    Quasi-periodicity classified vector quantization

  • Author

    Zhou, N. ; Daskalakis, C.N. ; Gold, M.P.

  • Author_Institution
    Dept. of Electr. Eng., Manchester Univ., UK
  • fYear
    1990
  • fDate
    33004
  • Firstpage
    42401
  • Lastpage
    42405
  • Abstract
    Proposes an alternative coding scheme which is based on a new criterion as well as a new image model. The main goal for image coding should be to preserve the essential structure of lines or shapes. From this point of view the code-book design is focused on representation of edges, not only because of their perceptual importance but also because edges are the most basic transition elements which can be used to construct various waveforms. Taking into account the statistics of edges in images, the authors propose an 8-class, 16-vector code-book (two vectors per class) which results from a training sequence using the LBG algorithm (the training pictures used are `Boat´ and `Flowers´)
  • Keywords
    analogue-digital conversion; encoding; picture processing; LBG algorithm; code-book design; edges; image coding; image model; statistics; training pictures; training sequence; vector quantization; waveforms;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Low Bit Rate Image Coding, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    190126