Introducing the p-Laplacian spectra

被引:6
|
作者
Cohen, Ido [1 ]
Gilboa, Guy [1 ]
机构
[1] Technion Israel Inst Technol, Dept Elect Engn, IL-3200003 Haifa, Israel
来源
SIGNAL PROCESSING | 2020年 / 167卷
基金
以色列科学基金会;
关键词
Nonlinear spectra; Filtering; Shape preserving flows; p-Laplacian; Nonlinear eigenfunctions; VARIABLE EXPONENT; IMAGE; SEGMENTATION;
D O I
10.1016/j.sigpro.2019.107281
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 work we develop a nonlinear decomposition, associated with nonlinear eigenfunctions of the p-Laplacian for p is an element of (1, 2). With this decomposition we can process signals of different degrees of smoothness. We first analyze solutions of scale spaces, generated by gamma-homogeneous operators, gamma is an element of R. An analytic solution is formulated when the scale space is initialized with a nonlinear eigenfunction of the respective operator. We show that the flow is extinct in finite time for gamma is an element of [0, 1). A main innovation in this study is concerned with operators of fractional homogeneity, which require the mathematical framework of fractional calculus. The proposed transform rigorously defines the notions of decomposition, reconstruction, filtering and spectrum. The theory is applied to the p-Laplacian operator, where the tools developed in this framework are demonstrated. (C) 2019 Elsevier B.V. All rights reserved.
引用
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页数:11
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