• DocumentCode
    457482
  • Title

    OK-Quantization Theory - A Mathematical Theory of Quantization -

  • Author

    Koshimizu, Hiroyasu ; Tanaka, Yuji ; Fujiwara, Takayuki

  • Author_Institution
    Sch. of Comput. & Cognitive Sci., Chukyo Univ.
  • Volume
    3
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    865
  • Lastpage
    868
  • Abstract
    A mathematical basis for the digitization of gray value of an image is proposed. This was called Oteru-Koshimizu quantization theorem (OK-QT), on the analogy of the Shannon sampling theorem (Shannon-ST) for the digitization of the shape of the image. Inspired by the fact that the Shannon-ST is the reconstruction theorem of the analog image from the discrete image, OK-QT was modeled as the reconstruction theorem of the shape of the probability density function of gray values of an image. This is a novel and unique mathematical basis for the digitization of the gray scale of an image. This paper outlines this theorem and also shows some experimental results to demonstrate its practical applicability. Through this, the OK-QT gives a clue to the mathematical paradigm for the complete basis for digitization, together with Shannon ST
  • Keywords
    data compression; image coding; image reconstruction; image sampling; information theory; Oteru-Koshimizu quantization theorem; Shannon sampling theorem; image gray value digitization; image reconstruction theorem; mathematical theory; Digital images; Fourier transforms; Histograms; Image reconstruction; Image sampling; Mathematical model; Numerical analysis; Probability density function; Quantization; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.896
  • Filename
    1699662