
Mathematical Image Processing
Birkhäuser (Publisher)
Published on 1. February 2019
Book
Hardback
XIII, 473 pages
978-3-030-01457-5 (ISBN)
Description
This book addresses the mathematical aspects of modern image processing methods, with a special emphasis on the underlying ideas and concepts. It discusses a range of modern mathematical methods used to accomplish basic imaging tasks such as denoising, deblurring, enhancing, edge detection and inpainting. In addition to elementary methods like point operations, linear and morphological methods, and methods based on multiscale representations, the book also covers more recent methods based on partial differential equations and variational methods.
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)
More details
Product info
Book
Series
Edition
2018
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Product notice
sewn/stitched
Cloth over boards
Illustrations
107 s/w Abbildungen, 22 farbige Abbildungen
Bibliographie
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 32 mm
Weight
893 gr
ISBN-13
978-3-030-01457-5 (9783030014575)
DOI
10.1007/978-3-030-01458-2
Schweitzer Classification
Other editions
Additional editions

Kristian Bredies | Dirk Lorenz
Mathematical Image Processing
E-Book
02/2019
Birkhäuser
€85.59
Available for download
Persons
Dirk Lorenz is professor at TU Braunschweig, Institute for Analysis and Algebra. His research areas are: Inverse Problemes and Mathematical Image Processing.
Kristian Bredies is professor at Karl-Franzens-Universität Graz. His research interests include mathematical imaging, variational methods and numerical optimization.
Content
Introduction.- Mathematical preliminaries.- Basic tools.- Frequency and multiscale methods.- Partial differential equations in image processing.- Variational methods.