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Handbook of Mathematical Methods in Imaging

Editors: Scherzer, Otmar (Ed.)

  • Presents comprehensive and rigorous treatment of mathematical methods in Imaging
  • Groups content around themes of Inverse Problems (Algorithmic Reconstruction), and Signal and Image Processing
  • Supports readers through cross-referenced entries for easy Navigation
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  • Offers an online edition with hyperlinked PDF and html format
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eReference $679.00
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  • ISBN 978-0-387-92920-0
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About this Reference Work

The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentation is mathematically rigorous. The entries are cross-referenced for easy navigation through connected topics. Available in both print and electronic forms, the handbook is enhanced by more than 150 illustrations and an extended bibliography.

It will benefit students, scientists and researchers in applied mathematics. Engineers and computer scientists working in imaging will also find this handbook useful.

Reviews

From the reviews:

“The book is divided into three volumes: methods, case examples and image restoration and analysis. … The book succeeds in achieving a broad coverage of subjects, but is also very detailed in its coverage of individual topics. The book is also very well referenced. This book would thus form an excellent reference for both individual researchers and research groups working in this field.” (Peter R. T. Munro, Contemporary Physics, Vol. 54 (1), 2013)


Table of contents (35 chapters)

  • Linear Inverse Problems

    Groetsch, Charles

    Pages 3-41

  • Large-Scale Inverse Problems in Imaging

    Chung, Julianne (et al.)

    Pages 43-86

  • Regularization Methods for Ill-Posed Problems

    Cheng, Jin (et al.)

    Pages 87-109

  • Distance Measures and Applications to Multi-Modal Variational Imaging

    Pöschl, Christiane (et al.)

    Pages 111-138

  • Energy Minimization Methods

    Nikolova, Mila

    Pages 139-185

Buy this book

eReference $679.00
price for USA (gross)
  • ISBN 978-0-387-92920-0
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Handbook of Mathematical Methods in Imaging
Editors
  • Otmar Scherzer
Copyright
2011
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eReference ISBN
978-0-387-92920-0
Edition Number
1
Number of Pages
LIV, 1512
Topics