• DocumentCode
    2482527
  • Title

    MEM pixel correlated solutions for generalized moment and interpolation problems

  • Author

    Csiszar, Imre ; Gamboa, Fabrice ; Gassiat, Elisabeth

  • Author_Institution
    Math. Inst., Hungarian Acad. of Sci., Budapest, Hungary
  • fYear
    1998
  • fDate
    16-21 Aug 1998
  • Firstpage
    357
  • Abstract
    We propose a new family of solutions for the classical generalized moment problem and the interpolation problem. The maximum entropy method on the mean (MEM) construction is the limit of the mean of some random discretized measure, where the amplitudes between pixels have a dependence structure. The method may be interpreted as a Bayesian procedure. Linear transfer allows one to introduce new prior information such as: modality, convexity, Sobolev norms. We also present MEM for exchangeable amplitudes on the pixels
  • Keywords
    Bayes methods; correlation methods; image reconstruction; interpolation; maximum entropy methods; Bayesian procedure; MEM pixel correlated solutions; Sobolev norms; convexity; dependence structure; exchangeable amplitudes; generalized moment problem; interpolation problem; linear transfer; maximum entropy method; mean; modality; pixel amplitudes; random discretized measure; signal reconstruction; Bayesian methods; Entropy; Interpolation; Kernel; Q measurement; Random variables; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    0-7803-5000-6
  • Type

    conf

  • DOI
    10.1109/ISIT.1998.708962
  • Filename
    708962