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Mathematical and Statistical Methods for Imaging
Edited by: Habib Ammari, Ecole Normale Supérieure, Paris, France, Josselin Garnier, Université Paris VII, France, Hyeonbae Kang, Inha University, Incheon, Korea, and Knut Sølna, University of California, Irvine, CA
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Contemporary Mathematics
2011; 163 pp; softcover
Volume: 548
ISBN-10: 0-8218-5289-2
ISBN-13: 978-0-8218-5289-7
List Price: US$69
Member Price: US$55.20
Order Code: CONM/548
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This volume contains the proceedings of the NIMS Thematic Workshop on Mathematical and Statistical Methods for Imaging, which was held from August 10-13, 2010, at Inha University, Incheon, Korea.

The goal of this volume is to give the reader a deep and unified understanding of the field of imaging and of the analytical and statistical tools used in imaging. It offers a good overview of the current status of the field and of directions for further research. Challenging problems are addressed from analytical, numerical, and statistical perspectives. The articles are devoted to four main areas: analytical investigation of robustness; hypothesis testing and resolution analysis, particularly for anomaly detection; new efficient imaging techniques; and the effects of anisotropy, dissipation, or attenuation in imaging.

Readership

Graduate students and research mathematicians interested in mathematical and statistical aspects of image processing.

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