Variational methods in imaging
This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. Key Features: - Introduces variational methods with motivation from the deterministic, geometric, a...
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| Hlavní autoři: | , , , , |
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| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edice: | Applied Mathematical Sciences
167 |
| Témata: | |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Description d'après consultation du 06 juillet 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Variational methods in imaging, Otmar Scherzer, Markus Grasmair, Harald Grossauer... [et al.], New York, Springer, 2009, 1 vol. (XIII-320 p.), Applied mathematical sciences, 978-0-387-30931-6 |
Obsah:
- Fundamentals of Imaging Case Examples of Imaging Image and Noise Models Regularization Variational Regularization Methods for the Solution of Inverse Problems Convex Regularization Methods for Denoising Variational Calculus for Non-convex Regularization Semi-group Theory and Scale Spaces Inverse Scale Spaces Mathematical Foundations Functional Analysis Weakly Differentiable Functions Convex Analysis and Calculus of Variations