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Mathematical Image Processing by Kristian Bredies: New

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Book Title
Mathematical Image Processing
Publication Date
2019-02-28
Pages
473
ISBN
9783030014575

關於產品

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3030014576
ISBN-13
9783030014575
eBay Product ID (ePID)
18038715531

Product Key Features

Number of Pages
Xiii, 473 Pages
Language
English
Publication Name
Mathematical Image Processing
Subject
Image Processing, Applied
Publication Year
2019
Type
Textbook
Subject Area
Mathematics, Computers
Author
Dirk Lorenz, Kristian Bredies
Series
Applied and Numerical Harmonic Analysis Ser.
Format
Hardcover

Dimensions

Item Weight
31.5 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Reviews
"This book is devoted to researches in image processing and can be used for courses of applied mathematics. This book can be treated as a good starting point, since it introduces the reader into the base theory of mathematical image processing and shows the wide spectrum of approaches to typical image processing tasks." (Agnieszka Lisowska, zbMath 1418.94001, 2019)
Number of Volumes
1 vol.
Illustrated
Yes
Original Language
German
Table Of Content
Introduction.- Mathematical preliminaries.- Basic tools.- Frequency and multiscale methods.- Partial differential equations in image processing.- Variational methods.
Synopsis
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), Introduction.- Mathematical preliminaries.- Basic tools.- Frequency and multiscale methods.- Partial differential equations in image processing.- Variational methods.
LC Classification Number
TA342-343

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