Pub. Date:
Springer New York
Handbook of Mathematical Methods in Imaging / Edition 1

Handbook of Mathematical Methods in Imaging / Edition 1

by Otmar Scherzer


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Product Details

ISBN-13: 9780387929194
Publisher: Springer New York
Publication date: 11/23/2010
Edition description: 2011
Pages: 1512
Product dimensions: 6.50(w) x 9.60(h) x 3.20(d)

About the Author

Otmar Scherzer is a professor at the University of Austria.

Table of Contents

Introduction.- Linear and Inverse Problems.- (Nonlinear) Ill-Posed Problems.- Statistical Inverse Problems.- Thermacoustic Tomography.- Sampling Methods.- Expansion Methods.- EM Algorithms.- Large Scale Inverse Problems.- Special Topics in CT, Including Spiral.- Inverse Scattering.- Wave Phenomena.- Radar.- Ultrasound, Elasticity.- Imaging in Random Media.- Learning, Classification, Data Mining.- Partial Differential Equations: Images and Movies.- Filtering of M-Channel Data.- Numerical Methods for Variational Approach in Image Analysis.- Segmentation with Priors.- Image Registration.- Duality and Convex Minimization.- Total Variation in Imaging.- Statistical Data Analysis with Applications.- Manifold Intrinsic Similarity.- Neighborhood Filters.- Mumford-Shah, Phase Field Models.- Photoacoustic and Thermoacoustic.- Mathematical Tools for Visualization.-Regularization Methods for Ill-Posed Problems.- Iterative Solution Methods.- EIT.- Astronomy.- Multi-Modal Image Processing.- Compressed Sensing.- Shape Spaces.- Subject Index.

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