Authors:
- 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)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
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
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Institute for Mathematics and Scientific, University of Graz, Graz, Austria
Kristian Bredies
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Braunschweig, Germany
Dirk Lorenz
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