• DocumentCode
    3348417
  • Title

    Multivariate statistical modeling of images in sparse multiscale transforms domain

  • Author

    Boubchir, Larbi ; Nait-Ali, Amine ; Petit, Eric

  • Author_Institution
    Lab. Images, Signaux et Syst. Intelligents, Univ. de Paris 12, Créteil, France
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    1877
  • Lastpage
    1880
  • Abstract
    In this paper, we propose a multivariate statistical model to characterize the inter- and intra-scale dependencies between image coefficients in the oriented and non-oriented sparse multiscale transforms domain. Our proposed model, namely the Multivariate Bessel K Form, is based on multivariate extension of Bessel K Form distribution. To establish this model in practice, we propose an analytical form of PDF and then estimate its hyperparameters. Also, we compared it to the other models proposed in literature such as the Anisotropic Multivariate Generalized Gaussian and the Jeffrey models, in order to demonstrate its capabilities to capture the inter- and intra-scale dependencies between image detail coefficients.
  • Keywords
    image processing; statistical analysis; Jeffrey models; anisotropic multivariate generalized Gaussian; image coefficients; multivariate Bessel K form; multivariate statistical model; sparse multiscale transforms domain; Analytical models; Image color analysis; Joints; Mathematical model; Wavelet domain; Wavelet transforms; Curvelet; EM algorithm; Multivariate Bessel K Form; Statistical modeling; Wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5652329
  • Filename
    5652329