Nonlinear Eigenproblems in Image Processing and Computer Vision

AvGuy Gilboa

Häftad, Engelska, 2019

Del i serien Advances in Computer Vision and Pattern Recognition

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2019-01-24
Mått:155 x 235 x 11 mm
Vikt:300 g
Format:Häftad
Språk:Engelska
Serie:Advances in Computer Vision and Pattern Recognition
Antal sidor:172
Förlag:Springer Nature Switzerland AG
ISBN:9783030093396

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Mer om författaren

Dr. Guy Gilboa is an Assistant Professor in the Electrical Engineering Department at Technion – Israel Institute of Technology, Haifa, Israel.

Innehållsförteckning

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.