Overview
- The book sets out pragmatically and sensibly to introduce to the fast field of mathematical techniques in solving many specific problems in image processing
- Covers also more recent methods based on PDE and variational methods
- Has the virtues of a good an handy reference manual
Part of the book series: Applied and Numerical Harmonic Analysis (ANHA)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (6 chapters)
Keywords
About this book
Review of the German Edition: The overwhelming impression of the book is that of a very professional presentation of an appropriately developed and motivated textbook for a course like an introduction to fundamentals and modern theory of mathematical image processing. Additionally, it belongs to the bookcase of any office where someone is doing research/application in image processing. It has the virtues of a good and handy reference manual. (zbMATH, reviewer: Carl H. Rohwer, Stellenbosch)
Reviews
Authors and Affiliations
About the authors
Kristian Bredies is professor at Karl-Franzens-Universität Graz. His research interests include mathematical imaging, variational methods and numerical optimization.
Bibliographic Information
Book Title: Mathematical Image Processing
Authors: Kristian Bredies, Dirk Lorenz
Series Title: Applied and Numerical Harmonic Analysis
DOI: https://doi.org/10.1007/978-3-030-01458-2
Publisher: Birkhäuser Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Hardcover ISBN: 978-3-030-01457-5Published: 28 February 2019
eBook ISBN: 978-3-030-01458-2Published: 06 February 2019
Series ISSN: 2296-5009
Series E-ISSN: 2296-5017
Edition Number: 1
Number of Pages: XIII, 473
Number of Illustrations: 107 b/w illustrations, 22 illustrations in colour
Topics: Mathematical Modeling and Industrial Mathematics, Applications of Mathematics