• DocumentCode
    1277553
  • Title

    Non-Local Morphological PDEs and p -Laplacian Equation on Graphs With Applications in Image Processing and Machine Learning

  • Author

    Elmoataz, Abderrahim ; Desquesnes, Xavier ; Lézoray, Olivier

  • Author_Institution
    Image Team, Univ. de Caen Basse-Normandie, Caen, France
  • Volume
    6
  • Issue
    7
  • fYear
    2012
  • Firstpage
    764
  • Lastpage
    779
  • Abstract
    In this paper, we introduce a new class of non-local p-Laplacian operators that interpolate between non-local Laplacian and infinity Laplacian. These operators are discrete analogous of the game p -laplacian operators on Euclidean spaces, and involve discrete morphological gradient on graphs. We study the Dirichlet problem associated with the new p-Laplacian equation and prove existence and uniqueness of it´s solution. We also consider non-local diffusion on graphs involving these operators. Finally, we propose to use these operators as a unified framework for solution of many inverse problems in image processing and machine learning.
  • Keywords
    Laplace equations; graphs; image processing; interpolation; learning (artificial intelligence); partial differential equations; Dirichlet problem; Euclidean spaces; discrete morphological gradient; graphs; image processing; infinity Laplacian; interpolation; inverse problems; machine learning; nonlocal diffusion; nonlocal morphological PDE; p-Laplacian equation; p-Laplacian operators; partial differential equation; Equations; Games; Image processing; Laplace equations; Machine learning; Manifolds; Morphology; $p$-Laplacian; Image processing; PDEs-based morphology on graphs; machine learning; tug-of-war games;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Signal Processing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1932-4553
  • Type

    jour

  • DOI
    10.1109/JSTSP.2012.2216504
  • Filename
    6293841