This book focuses on variational methods in imaging science. Many numerical examples accompany the theory throughout the text. This systematic presentation includes additional material and images available on the website. 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.
| ISBN: | 9781441921666 |
| Publication date: | 19th November 2010 |
| Author: | Otmar Scherzer |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Paperback |
| Pagination: | 322 pages |
| Series: | Applied Mathematical Sciences |
| Genres: |
Optimization Numerical analysis Computer vision Digital signal processing (DSP) Medical imaging Electronics engineering |
This book focuses on variational methods in imaging science. Many numerical examples accompany the theory throughout the text.
Variational Methods in Imaging features in the following genres: Optimization, Numerical analysis, Computer vision, Digital signal processing (DSP), Medical imaging, Electronics engineering
Paperback, Hardback. Not Available.
Variational Methods in Imaging was written by Otmar Scherzer and published by Springer an imprint of Springer New York
Variational Methods in Imaging has 322 pages
Yes it is part of Applied Mathematical Sciences series