Editors:
- Expanded and revised second edition with 10+ new entries and 200 illustrations
- Comprehensive and rigorous treatment of mathematical methods in imaging
- Available in both print and electronic form, with entries in hyperlinked PDF and html format
- Includes supplementary material: sn.pub/extras
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Table of contents (44 entries)
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Front Matter
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Inverse Problems – Methods
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Front Matter
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Inverse Problems – Case Examples
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Front Matter
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About this book
The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentation is mathematically rigorous.
This expanded and revised second edition contains updates to existing chapters and 16 additional entries on important mathematical methods such as graph cuts, morphology, discrete geometry, PDEs, conformal methods, to name a few. The entries are cross-referenced for easy navigation through connected topics. Available in both print and electronic forms, the handbook is enhanced by more than 200 illustrations and an extended bibliography.
It will benefit students, scientists and researchers in applied mathematics. Engineers and computer scientists working in imaging will also find this handbook useful.
Editors and Affiliations
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Computational Science Center, University of Vienna, Vienna, Austria
Otmar Scherzer
Bibliographic Information
Book Title: Handbook of Mathematical Methods in Imaging
Editors: Otmar Scherzer
DOI: https://doi.org/10.1007/978-1-4939-0790-8
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Reference Module Computer Science and Engineering
Copyright Information: Springer Science+Business Media New York 2015
Hardcover ISBN: 978-1-4939-0789-2
eBook ISBN: 978-1-4939-0790-8
Edition Number: 2
Number of Pages: XVIII, 2178
Number of Illustrations: 272 b/w illustrations, 200 illustrations in colour
Topics: Mathematical Applications in Computer Science, Image Processing and Computer Vision, Signal, Image and Speech Processing, Numerical Analysis, Imaging / Radiology