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＜電子ブック＞
Mathematical Image Processing / by Kristian Bredies, Dirk Lorenz
(Applied and Numerical Harmonic Analysis. ISSN:22965017)

版	1st ed. 2018.
出版者	(Cham : Springer International Publishing : Imprint: Birkhäuser)
出版年	2018
大きさ	XIII, 473 p. 129 illus., 22 illus. in color : online resource
著者標目	*Bredies, Kristian author Lorenz, Dirk author SpringerLink (Online service)
件　名	LCSH:Mathematical models LCSH:Mathematics FREE:Mathematical Modeling and Industrial Mathematics FREE:Applications of Mathematics
一般注記	Introduction -- Mathematical preliminaries -- Basic tools -- Frequency and multiscale methods -- Partial differential equations in image processing -- Variational methods 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) HTTP:URL=https://doi.org/10.1007/978-3-030-01458-2

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