This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. Many numerical examples accompany the theory throughout the text. It is geared towards graduate students and researchers in applied mathematics. Researchers in the area of imaging science will also find this book appealing. It can serve as a main text in courses in image processing or as a supplemental text for courses on regularization and inverse problems at the graduate level.
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This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. Many numerical examples accompany the theory throughout the text. It is geared towards graduate students and researchers in applied mathematics. Researchers in the area of imaging science will also find this book appealing. It can serve as a main text in courses in image processing or as a supplemental text for courses on regularization and inverse problems at the graduate level.
Imprint | Springer-Verlag New York |
Country of origin | United States |
Series | Applied Mathematical Sciences, 167 |
Release date | October 2008 |
Availability | Expected to ship within 12 - 17 working days |
First published | 2009 |
Authors | Otmar Scherzer, Markus Grasmair, Harald Grossauer, Markus Haltmeier, Frank Lenzen |
Dimensions | 235 x 155 x 21mm (L x W x T) |
Format | Hardcover |
Pages | 320 |
Edition | 2009 ed. |
ISBN-13 | 978-0-387-30931-6 |
Barcode | 9780387309316 |
Categories | |
LSN | 0-387-30931-4 |