Variational methods in imaging / Otmar Scherzer [and others].

"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, geometri...

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Bibliographic Details
Main Author: Scherzer, Otmar, 1964- (Author)
Format: Ebook
Language:English
Published: New York ; [London] : Springer, [2008]
Series:Applied mathematical sciences (Springer-Verlag New York Inc.) ; v.167.
Subjects:
Online Access:Springer eBooks
Description
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."--Publisher's website.
Physical Description:1 online resource (xiii, 320 pages) : illustrations.
Format:Mode of access: World Wide Web.
Bibliography:Includes bibliographical references and index.
ISBN:0387692770
9780387692777
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