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.

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Bibliographic Details
Main Author Gilboa, Guy
Format eBook
LanguageEnglish
Published Cham Springer Nature 2018
Springer International Publishing AG
Springer International Publishing
Edition1
SeriesAdvances in Computer Vision and Pattern Recognition
Subjects
Calculus of Variations and Optimal Control; Optimization
Computer programming, programs, data
Computer Science
Image Processing and Computer Vision
Image processing-Digital techniques-Mathematics
Math Applications in Computer Science
Mathematical Applications in Computer Science
Signal, Image and Speech Processing
Online AccessGet full text
ISBN9783319758473
3319758470
9783319758466
3319758462
ISSN2191-6586
2191-6594
DOI10.1007/978-3-319-75847-3

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Summary: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.
ISBN:9783319758473
3319758470
9783319758466
3319758462
ISSN:2191-6586
2191-6594
DOI:10.1007/978-3-319-75847-3