• DocumentCode
    970362
  • Title

    Distribution shape of two-dimensional DCT coefficients of natural images

  • Author

    Muller, Frank

  • Author_Institution
    Inst. for Commun. Eng., Aachen Univ. of Technol., Germany
  • Volume
    29
  • Issue
    22
  • fYear
    1993
  • Firstpage
    1935
  • Lastpage
    1936
  • Abstract
    The univariate distribution of DCT coefficients of natural images is investigated. The probability density function (PDF) of the coefficients is modelled with the generalised Gaussian function (GGF) which includes the Gaussian and the Laplacian PDF as special cases. The shape parameter of the GGF is estimated according to the maximum likelihood principle. chi 2 tests of fit showed that GGFs model the distribution of DCT coefficients more accurately than Laplacian PDFs.
  • Keywords
    discrete cosine transforms; image coding; maximum likelihood estimation; probability; 2D type; Gaussian PDF; Laplacian PDF; PDF; distribution shape; generalised Gaussian function; maximum likelihood principle; natural images; probability density function; two-dimensional DCT coefficients; univariate distribution;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19931288
  • Filename
    244594
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=970362