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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Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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Edition: | 1st ed. 2018. |
Series: | Advances in Computer Vision and Pattern Recognition,
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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.