Computational Methods for Inverse Problems in Imaging (Hardcover, 1st ed. 2019)

This book presents recent mathematical methods in the area of inverse problems in imaging with a particular focus on the computational aspects and applications. The formulation of inverse problems in imaging requires accurate mathematical modeling in order to preserve the significant features of the image. The book describes computational methods to efficiently address these problems based on new optimization algorithms for smooth and nonsmooth convex minimization, on the use of structured (numerical) linear algebra, and on multilevel techniques. It also discusses various current and challenging applications in fields such as astronomy, microscopy, and biomedical imaging. The book is intended for researchers and advanced graduate students interested in inverse problems and imaging.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer INdAM Series, 36
Release date:	December 2019
First published:	2019
Editors:	Marco Donatelli • Stefano Serra Capizzano
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	166
Edition:	1st ed. 2019
ISBN-13:	978-3-03-032881-8
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Promotions
LSN:	3-03-032881-3
Barcode:	9783030328818

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