Title : 
Non-Local Morphological PDEs and 
  
 -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
         
        
        
        
        
        
        
            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;
         
        
        
            Journal_Title : 
Selected Topics in Signal Processing, IEEE Journal of
         
        
        
        
        
            DOI : 
10.1109/JSTSP.2012.2216504