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ORCIDHandbook of Mathematical Methods in Imaging 2015
- Otmar Scherzer:
Handbook of Mathematical Methods in Imaging. Springer 2015, ISBN 978-1-4939-0789-2 - Charles W. Groetsch:
Linear Inverse Problems. 3-46 - Julianne Chung, Sarah Knepper, James G. Nagy:
Large-Scale Inverse Problems in Imaging. 47-90 - Jin Cheng, Bernd Hofmann:
Regularization Methods for Ill-Posed Problems. 91-123 - Christiane Pöschl, Otmar Scherzer:
Distance Measures and Applications to Multimodal Variational Imaging. 125-155 - Mila Nikolova:
Energy Minimization Methods. 157-204 - Massimo Fornasier
, Holger Rauhut:
Compressive Sensing. 205-256 - Jonathan M. Borwein, D. Russell Luke:
Duality and Convex Programming. 257-304 - Charles Byrne, Paul P. B. Eggermont:
EM Algorithms. 305-388 - Charles Byrne:
EM Algorithms from a Non-stochastic Perspective. 389-429 - Martin Burger, Barbara Kaltenbacher, Andreas Neubauer:
Iterative Solution Methods. 431-470 - Oliver Dorn, Dominique Lesselier:
Level Set Methods for Structural Inversion and Image Reconstruction. 471-532 - Habib Ammari, Hyeonbae Kang:
Expansion Methods. 535-590 - Martin Hanke-Bourgeois, Andreas Kirsch:
Sampling Methods. 591-647 - David Colton, Rainer Kress:
Inverse Scattering. 649-700 - Andy Adler, Romina Gaburro, William R. B. Lionheart:
Electrical Impedance Tomography. 701-762 - Margaret Cheney, Brett Borden:
Synthetic Aperture Radar Imaging. 763-799 - Gabor T. Herman:
Tomography. 801-845 - Venkateswaran P. Krishnan, Eric Todd Quinto:
Microlocal Analysis in Tomography. 847-902 - Athanassios S. Fokas, George A. Kastis:
Mathematical Methods in PET and SPECT Imaging. 903-936 - Ozan Öktem:
Mathematics of Electron Tomography. 937-1031 - Simon R. Arridge, Jari P. Kaipio, Ville Kolehmainen, Tanja Tarvainen:
Optical Imaging. 1033-1079 - Kun Wang, Mark A. Anastasio:
Photoacoustic and Thermoacoustic Tomography: Image Formation Principles. 1081-1116 - Peter Kuchment, Leonid A. Kunyansky:
Mathematics of Photoacoustic and Thermoacoustic Tomography. 1117-1167 - Peter Elbau, Leonidas Mindrinos, Otmar Scherzer:
Mathematical Methods of Optical Coherence Tomography. 1169-1204 - Matti Lassas, Mikko Salo, Gunther Uhlmann:
Wave Phenomena. 1205-1252 - Frank Natterer:
Sonic Imaging. 1253-1278 - Liliana Borcea:
Imaging in Random Media. 1279-1340 - Daniela Calvetti, Erkki Somersalo:
Statistical Methods in Imaging. 1343-1392 - Gabriele Steidl:
Supervised Learning by Support Vector Machines. 1393-1453 - Vicent Caselles, Antonin Chambolle, Matteo Novaga:
Total Variation in Imaging. 1455-1499 - Raymond H. Chan, Tony F. Chan, Andy M. Yip:
Numerical Methods and Applications in Total Variation Image Restoration. 1501-1537 - Leah Bar, Tony F. Chan, Ginmo Chung, Miyoun Jung, Luminita A. Vese, Nahum Kiryati, Nir A. Sochen:
Mumford and Shah Model and Its Applications to Image Segmentation and Image Restoration. 1539-1597 - Jean-Michel Morel, Antoni Buades, Tomeu Coll:
Local Smoothing Neighborhood Filters. 1599-1643 - Julie Digne, Mariella Dimiccoli, Neus Sabater, Philippe Salembier:
Neighborhood Filters and the Recovery of 3D Information. 1645-1673 - Brigitte Forster:
Splines and Multiresolution Analysis. 1675-1716 - Ole W. Christensen, Hans G. Feichtinger, Stephan Paukner:
Gabor Analysis for Imaging. 1717-1757 - Alain Trouvé, Laurent Younes:
Shape Spaces. 1759-1817 - Martin Rumpf, Benedikt Wirth:
Variational Methods in Shape Analysis. 1819-1858 - Alexander M. Bronstein, Michael M. Bronstein:
Manifold Intrinsic Similarity. 1859-1908 - Daniel Cremers:
Image Segmentation with Shape Priors: Explicit Versus Implicit Representations. 1909-1944 - Florian Becker, Stefania Petra, Christoph Schnörr:
Optical Flow. 1945-2004 - Lars Ruthotto, Jan Modersitzki:
Non-linear Image Registration. 2005-2051 - Jean-Luc Starck, Fionn Murtagh, Mario Bertero:
Starlet Transform in Astronomical Data Processing. 2053-2098 - Werner Benger, René Heinzl, Dietmar Hildenbrand, Tino Weinkauf, Holger Theisel, David Tschumperlé:
Differential Methods for Multi-dimensional Visual Data Analysis. 2099-2162
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