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...
Guardat en:
| Autors principals: | , , , , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Col·lecció: | Applied Mathematical Sciences
167 |
| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
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 |
| LEADER | 03923nam a22004217a 4500 | ||
|---|---|---|---|
| 001 | 942725 | ||
| 008 | 110106q2000 xxe ||| |||| 00| 0 eng d | ||
| 009 | PPN149048157 | ||
| 020 | |a 9780387692777 | ||
| 041 | 0 | |a eng | |
| 082 | |a 515.64 | ||
| 084 | |a 68U10. 2010 | ||
| 100 | 1 | |a Scherzer, Otmar, |d 1964- | |
| 245 | 1 | 0 | |a Variational methods in imaging |c by Otmar Scherzer, Markus Grasmair, Harald Grossauer, Markus Haltmeier. |
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 1 | |a Applied Mathematical Sciences |v 167 |x 0066-5452 | |
| 500 | |a Description d'après consultation du 06 juillet 2011 | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Bibliogr. Index | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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, and stochastic point of view - Bridges the gap between regularization theory in image analysis and in inverse problems - Presents case examples in imaging to illustrate the use of variational methods e.g. denoising, thermoacoustics, computerized tomography - Discusses link between non-convex calculus of variations, morphological analysis, and level set methods - Analyses variational methods containing classical analysis of variational methods, modern analysis such as G-norm properties, and non-convex calculus of variations - Uses numerical examples to enhance the theory This book is geared towards graduate students and researchers in applied mathematics. It can serve as a main text for graduate courses in image processing and inverse problems or as a supplemental text for courses on regularization. Researchers and computer scientists in the area of imaging science will also find this book useful | ||
| 650 | |a Principes variationnels | ||
| 650 | |a Imagerie | ||
| 700 | 1 | |a Grasmair, Markus. |4 aut | |
| 700 | 1 | |a Grossauer, Harald. |4 aut | |
| 700 | 1 | |a Haltmeier, Markus. |4 aut | |
| 700 | 1 | |a Lenzen, Frank. |4 aut | |
| 776 | 0 | |0 129899577 |t Variational methods in imaging |f Otmar Scherzer, Markus Grasmair, Harald Grossauer... [et al.] |c New York |n Springer |d 2009 |p 1 vol. (XIII-320 p.) |s Applied mathematical sciences |z 978-0-387-30931-6 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-0-387-69277-7 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-BG8S3CM8-4 |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747837937 |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/978-0-387-69277-7 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:750855436 |u https://ezproxy.insa-cvl.fr/login?qurl=https://doi.org/10.1007/978-0-387-69277-7 |z Accès INSA CVL | |
| 997 | |0 942725 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||