Research Catalog

Variational methods in imaging

Title
Variational methods in imaging / Otmar Scherzer [and others].
Publication
New York ; London : Springer, 2008.

Items in the Library & Off-site

Filter by

1 Item

StatusFormatAccessCall NumberItem Location
TextRequest in advance TK8315 .V37 2008gOff-site

Details

Additional Authors
Scherzer, Otmar, 1964-
Description
xiii, 320 pages : illustrations; 25 cm.
Summary
"This book: introduces variational methods informed by the deterministic, geometric and stochastic point of view; presents case examples in imaging to illustrate the use of variational methods e.g. denoising, thermoacoustics, and computerized tomography; discusses the link between nonconvex calculus of variations, morphological analysis and level set methods; and analyses variational methods containing classical analysis of variational methods, modern analysis such as G-norm properties and nonconvex calculus of variations Includes additional material and images online."--BOOK JACKET.
Series Statement
Applied mathematical sciences ; 167
Uniform Title
Applied mathematical sciences (Springer-Verlag New York Inc.) ; v. 167.
Subject
  • Imaging systems
  • Variational principles
Contents
Pt. I. Fundamentals of Imaging -- 1. Case Examples of Imaging -- 2. Image and Noise Models -- Pt. II. Regularization -- 3. Variational Regularization Methods for the Solution of Inverse Problems -- 4. Convex Regularization Methods for Denoising -- 5. Variational Calculus for Non-convex Regularization -- 6. Semi-group Theory and Scale Spaces -- 7. Inverse Scale Spaces -- Pt. III. Mathematical Foundations -- 8. Functional Analysis -- 9. Weakly Differentiable Functions -- 10. Convex Analysis and Calculus of Variations.
ISBN
  • 9780387309316 (hbk.)
  • 0387309314 (hbk.)
OCLC
  • ocn234298493
  • 234298493
  • SCSB-5445452
Owning Institutions
Columbia University Libraries