Table of contents

  1. Massimo Fornasier, Holger Rauhut
  2. Werner Benger, René Heinzl, Dietmar Hildenbrand, Tino Weinkauf, Holger Theisel, David Tschumperlé
  3. Jonathan M. Borwein, D. Russell Luke
  4. Andy Adler, Romina Gaburro, William Lionheart
  5. Liliana Borcea
  6. Martin Burger, Barbara Kaltenbacher, Andreas Neubauer
  7. Julianne Chung, Sarah Knepper, James G. Nagy
  8. Jean-x Morel, Antoni Buades, Tomeu Coll
  9. Athanasios S.Fokas, George A.Kastis
  10. Peter Elbau, Leonidas Mindrinos, Otmar Scherzer
  11. Venkateswaran P. Krishnan, Eric Todd Quinto
  12. Leah Bar, Tony F. Chan, Ginmo Chung, Miyoun Jung, Nahum Kiryati, Nir Sochen et al.
  13. Julie Digne, Mariella Dimiccoli, Neus Sabater, Philippe Salembier
  14. Lars Ruthotto, Jan Modersitzki
  15. Florian Becker, Stefania Petrab, Christoph Schnörr
  16. Martin Hanke-Bourgeois, Andreas Kirsch
  17. Frank Natterer
  18. Jean-Luc Starck, Fionn Murtagh, Mario Bertero
  19. Gabor T. Herman
  20. V. Caselles, A. Chambolle, M. Novaga

About this book


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.

Editors and affiliations

  • Otmar Scherzer
    • 1
  1. 1.Computational Science CenterUniversity of ViennaViennaAustria

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Online ISBN 978-3-642-27795-5