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

被引:37
作者
Elmoataz, Abderrahim [1 ,2 ]
Desquesnes, Xavier [1 ,2 ]
Lezoray, Olivier [1 ,2 ]
机构
[1] Univ Caen Basse Normandie, F-14050 Caen, France
[2] ENSICAEN GREYC Lab, Image Team, F-14050 Caen, France
关键词
Image processing; machine learning; p-Laplacian; PDEs-based morphology on graphs; tug-of-war games; PARTIAL DIFFERENCE-EQUATIONS; DISCRETE REGULARIZATION; WEIGHTED GRAPHS; MATHEMATICAL MORPHOLOGY; ALGORITHMS; FRAMEWORK; OPERATORS;
D O I
10.1109/JSTSP.2012.2216504
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:764 / 779
页数:16
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