Overview
- Presents comprehensive and rigorous treatment of mathematical methods in imaging
- Groups content around themes of Inverse Problems (Algorithmic Reconstruction), and Signal and Image Processing
- Supports readers through cross-referenced entries for easy Navigation
- Offers an online edition with hyperlinked PDF and html Format
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (35 entries)
-
Front Matter
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. 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 150 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.
Reviews
From the reviews:
“The book is divided into three volumes: methods, case examples and image restoration and analysis. … The book succeeds in achieving a broad coverage of subjects, but is also very detailed in its coverage of individual topics. The book is also very well referenced. This book would thus form an excellent reference for both individual researchers and research groups working in this field.” (Peter R. T. Munro, Contemporary Physics, Vol. 54 (1), 2013)
Editors and Affiliations
Bibliographic Information
Book Title: Handbook of Mathematical Methods in Imaging
Editors: Otmar Scherzer
DOI: https://doi.org/10.1007/978-0-387-92920-0
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Reference Module Computer Science and Engineering
Copyright Information: Springer Science+Business Media, LLC 2011
eBook ISBN: 978-0-387-92920-0
Edition Number: 1
Number of Pages: LIV, 1512
Topics: Applications of Mathematics, Image Processing and Computer Vision, Signal, Image and Speech Processing, Numerical Analysis, Imaging / Radiology