Variational methods in imaging
Resource Information
The work Variational methods in imaging represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Variational methods in imaging
Resource Information
The work Variational methods in imaging represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
- Label
- Variational methods in imaging
- Statement of responsibility
- Otmar Scherzer [and others]
- Subject
-
- Bildgebendes Verfahren
- Bildgebendes Verfahren
- Bildverarbeitung
- Bildverarbeitung
- Imaging systems
- Imaging systems
- Imaging systems
- Imaging systems
- Numerische Mathematik
- Numerische Mathematik
- Variational principles
- Variational principles
- Variational principles
- Variational principles
- Variationsrechnung
- Variationsrechnung
- Language
- eng
- Summary
- 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
- Cataloging source
- GW5XE
- Dewey number
- 621.3670151564
- Illustrations
- illustrations
- Index
- index present
- LC call number
-
- QA1
- TK8315
- LC item number
-
- .A647 v.167
- .V37 2009
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- Series statement
- Applied mathematical sciences
- Series volume
- v. 167
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