Handbook of Mathematical Methods in Imaging
Edited by Otmar Scherzer
in Springer Books from Springer
Date: 2011
ISBN: 978-0-387-92920-0
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Chapters in this book:
- Ch 1 Linear Inverse Problems
- Charles Groetsch
- Ch 2 Large-Scale Inverse Problems in Imaging
- Julianne Chung, Sarah Knepper and James G. Nagy
- Ch 3 Regularization Methods for Ill-Posed Problems
- Jin Cheng and Bernd Hofmann
- Ch 4 Distance Measures and Applications to Multi-Modal Variational Imaging
- Christiane Pöschl and Otmar Scherzer
- Ch 5 Energy Minimization Methods
- Mila Nikolova
- Ch 6 Compressive Sensing
- Massimo Fornasier and Holger Rauhut
- Ch 7 Duality and Convex Programming
- Jonathan M. Borwein and D. Russell Luke
- Ch 8 EM Algorithms
- Charles Byrne and Paul P. B. Eggermont
- Ch 9 Iterative Solution Methods
- Martin Burger, Barbara Kaltenbacher and Andreas Neubauer
- Ch 10 Level Set Methods for Structural Inversion and Image Reconstruction
- Oliver Dorn and Dominique Lesselier
- Ch 11 Expansion Methods
- Habib Ammari and Hyeonbae Kang
- Ch 12 Sampling Methods
- Martin Hanke and Andreas Kirsch
- Ch 13 Inverse Scattering
- David Colton and Rainer Kress
- Ch 14 Electrical Impedance Tomography
- Andy Adler, Romina Gaburro and William Lionheart
- Ch 15 Synthetic Aperture Radar Imaging
- Margaret Cheney and Brett Borden
- Ch 16 Tomography
- Gabor T. Herman
- Ch 17 Optical Imaging
- Simon R. Arridge, Jari P. Kaipio, Ville Kolehmainen and Tanja Tarvainen
- Ch 18 Photoacoustic and Thermoacoustic Tomography: Image Formation Principles
- Kun Wang and Mark A. Anastasio
- Ch 19 Mathematics of Photoacoustic and Thermoacoustic Tomography
- Peter Kuchment and Leonid Kunyansky
- Ch 20 Wave Phenomena
- Matti Lassas, Mikko Salo and Gunther Uhlmann
- Ch 21 Statistical Methods in Imaging
- Daniela Calvetti and Erkki Somersalo
- Ch 22 Supervised Learning by Support Vector Machines
- Gabriele Steidl
- Ch 23 Total Variation in Imaging
- V. Caselles, A. Chambolle and M. Novaga
- Ch 24 Numerical Methods and Applications in Total Variation Image Restoration
- Raymond Chan, Tony Chan and Andy Yip
- Ch 25 Mumford and Shah Model and its Applications to Image Segmentation andImage Restoration
- Leah Bar, Tony F. Chan, Ginmo Chung, Miyoun Jung, Nahum Kiryati, Rami Mohieddine, Nir Sochen and Luminita A. Vese
- Ch 26 Local Smoothing Neighborhood Filters
- Jean-Michel Morel, Antoni Buades and Tomeu Coll
- Ch 27 Neighborhood Filters and the Recovery of 3D Information
- Julie Digne, Mariella Dimiccoli, Philippe Salembier and Neus Sabater
- Ch 28 Splines and Multiresolution Analysis
- Brigitte Forster
- Ch 29 Gabor Analysis for Imaging
- Ole Christensen, Hans G. Feichtinger and Stephan Paukner
- Ch 30 Shape Spaces
- Alain Trouvé and Laurent Younes
- Ch 31 Variational Methods in Shape Analysis
- Martin Rumpf and Benedikt Wirth
- Ch 32 Manifold Intrinsic Similarity
- Alexander M. Bronstein and Michael M. Bronstein
- Ch 33 Image Segmentation with Shape Priors: Explicit Versus Implicit Representations
- Daniel Cremers
- Ch 34 Starlet Transform in Astronomical Data Processing
- Jean-Luc Starck, Fionn Murtagh and Mario Bertero
- Ch 35 Differential Methods for Multi-Dimensional Visual Data Analysis
- Werner Benger, René Heinzl, Dietmar Hildenbrand, Tino Weinkauf, Holger Theisel and David Tschumperlé
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-0-387-92920-0
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DOI: 10.1007/978-0-387-92920-0
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