Mathematical Image Processing (Hardcover, 1st ed. 2018)

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)

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Applied and Numerical Harmonic Analysis
Release date:	February 2019
First published:	2018
Authors:	Kristian Bredies • Dirk Lorenz
Dimensions:	235 x 155 x 27mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	473
Edition:	1st ed. 2018
ISBN-13:	978-3-03-001457-5
Languages:	English
Subtitles:	German
Categories:	Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Science & Mathematics > Mathematics > Algebra > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Promotions
LSN:	3-03-001457-6
Barcode:	9783030014575

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