Variational Methods in Imaging von Otmar Scherzer | ISBN 9780387692777

Variational Methods in Imaging

von Otmar Scherzer, Markus Grasmair, Harald Grossauer, Markus Haltmeier und Frank Lenzen
Mitwirkende
Autor / AutorinOtmar Scherzer
Autor / AutorinMarkus Grasmair
Autor / AutorinHarald Grossauer
Autor / AutorinMarkus Haltmeier
Autor / AutorinFrank Lenzen
Buchcover Variational Methods in Imaging | Otmar Scherzer | EAN 9780387692777 | ISBN 0-387-69277-0 | ISBN 978-0-387-69277-7

From the reviews:

„Imaging is a wide area of applied mathematics which covers inverse problems, data filtering … medical diagnosis, etc. … The book is structured in a logical manner, starting with motivating examples and building on them. … One of the strengths of this book is its real-life applications and analytical and numerical results presented at each step, keeping the content real … . This is … a book for the seasoned researchers or graduate students who look to deepen their understanding of the subject.“ (Bogdan G. Nita, Mathematical Reviews, Issue 2009 j)

“The book is mainly devoted to variational methods in imaging. It is divided into three parts. … The book is interesting in particular for its rigorous presentation of many proved mathematical results, and is … important for the image processing community.” (Alessandro Duci, Zentralblatt MATH, Vol. 1177, 2010)

Variational Methods in Imaging

von Otmar Scherzer, Markus Grasmair, Harald Grossauer, Markus Haltmeier und Frank Lenzen
Mitwirkende
Autor / AutorinOtmar Scherzer
Autor / AutorinMarkus Grasmair
Autor / AutorinHarald Grossauer
Autor / AutorinMarkus Haltmeier
Autor / AutorinFrank Lenzen
Introduces variational methods with motivation from the deterministic, geometric and stochastic point of view Presents case examples in imaging to illustrate the use of variational methods e. g. denoising, thermoacoustics, computerized tomography Discusses link between noncovex calculus of variations, morphological analysis and level set methods Analyses variational methods containing classical analysis of variational methods, modern analysis such as G-norm properties and nonconvex calculus of variations Includes additional material and images online Includes supplementary material: sn. pub/extras