Nonlinear Eigenproblems in Image Processing and Computer Vision

This unique text/reference presents a fresh look at nonlinear processing through nonlinear eigenvalue analysis, highlighting how one-homogeneous convex functionals can induce nonlinear operators that can be analyzed within an eigenvalue framework. The text opens with an introduction to the mathemati...

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Bibliographic Details
Main Author: Gilboa, Guy (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Advances in Computer Vision and Pattern Recognition,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Introduction and Motivation.- Variational Methods in Image Processing
  • Total Variation and its Properties
  • Eigenfunctions of One-Homogeneous Functionals
  • Spectral One-Homogeneous Framework
  • Applications Using Nonlinear Spectral Processing
  • Numerical Methods for Finding Eigenfunctions
  • Graph and Nonlocal Framework
  • Beyond Convex Analysis: Decompositions with Nonlinear Flows
  • Relations to Other Decomposition Methods
  • Future Directions
  • Appendix: Numerical Schemes.