Introduction to inverse problems in imaging:
Fully updated throughout, with several new chapters, this second edition of Introduction to Inverse Problems in Imaging guides advanced undergraduate and graduate students in physics, computer science, mathematics and engineering through the principles of linear inverse problems, in addition to meth...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton, FL
CRC Press, Taylor & Francis Group
2022
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| Ausgabe: | Second edition |
| Schlagworte: | |
| Online-Zugang: | FHR01 Taylor & Francis |
| Zusammenfassung: | Fully updated throughout, with several new chapters, this second edition of Introduction to Inverse Problems in Imaging guides advanced undergraduate and graduate students in physics, computer science, mathematics and engineering through the principles of linear inverse problems, in addition to methods of their approximate solution and their practical applications in imaging. The level of mathematical treatment is kept as low as possible to make the book suitable for a wide range of readers from different backgrounds, with readers needing just a rudimentary understanding of analysis, geometry, linear algebra, probability theory, and Fourier analysis. This second edition contains new chapters on quadratic, iterative, and sparsity-enforcing tikhonov regularizations in addition to maximum likelihood methods and bayesian regularization. The authors concentrate on presenting easily implementable and fast solution algorithms. With examples and exercised throughout, the book will provide the reader with the appropriate background for a clear understanding of the essence of inverse problems (ill-posedness and its cure) and, consequently, for an intelligent assessment of the rapidly growing literature on these problems. Key features: Provides an accessible introduction to the topic, whilst keeping mathematics to a minimum Interdisciplinary topic with growing relevance and wide-ranging applications Accompanied by numerical examples throughout Author bios Mario Bertero is a Professor Emeritus at the Universit di Genova. Patrizia Boccacci is a Professor at the Universit di Genova. Christine De Mol is a Professor at the Universit libre de Bruxelles |
| Beschreibung: | "First edition published by CRC Press 1998. |
| Beschreibung: | 1 online resource (337 pages) illustrations |
| ISBN: | 9781003032755 1003032753 |
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| institution | BVB |
| isbn | 9781003032755 1003032753 |
| language | English |
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| spelling | Bertero, Mario 1938- Verfasser (DE-588)1055083545 aut Introduction to inverse problems in imaging Mario Bertero, Patrizia Boccacci, Christine De MoI. Second edition Boca Raton, FL CRC Press, Taylor & Francis Group 2022 1 online resource (337 pages) illustrations txt rdacontent c rdamedia cr rdacarrier "First edition published by CRC Press 1998. Fully updated throughout, with several new chapters, this second edition of Introduction to Inverse Problems in Imaging guides advanced undergraduate and graduate students in physics, computer science, mathematics and engineering through the principles of linear inverse problems, in addition to methods of their approximate solution and their practical applications in imaging. The level of mathematical treatment is kept as low as possible to make the book suitable for a wide range of readers from different backgrounds, with readers needing just a rudimentary understanding of analysis, geometry, linear algebra, probability theory, and Fourier analysis. This second edition contains new chapters on quadratic, iterative, and sparsity-enforcing tikhonov regularizations in addition to maximum likelihood methods and bayesian regularization. The authors concentrate on presenting easily implementable and fast solution algorithms. With examples and exercised throughout, the book will provide the reader with the appropriate background for a clear understanding of the essence of inverse problems (ill-posedness and its cure) and, consequently, for an intelligent assessment of the rapidly growing literature on these problems. Key features: Provides an accessible introduction to the topic, whilst keeping mathematics to a minimum Interdisciplinary topic with growing relevance and wide-ranging applications Accompanied by numerical examples throughout Author bios Mario Bertero is a Professor Emeritus at the Universit di Genova. Patrizia Boccacci is a Professor at the Universit di Genova. Christine De Mol is a Professor at the Universit libre de Bruxelles Differentialgleichung (DE-588)4012249-9 gnd rswk-swf Mathematik (DE-588)4037944-9 gnd rswk-swf Image processing / Mathematics Inverse problems (Differential equations) Electronic books Mathematik (DE-588)4037944-9 s Differentialgleichung (DE-588)4012249-9 s DE-604 Boccacci, Patrizia 1955- Sonstige (DE-588)1182588697 oth Erscheint auch als Druck-Ausgabe 978-0-367-47005-0 Erscheint auch als Druck-Ausgabe 978-0-367-46786-9 https://www.taylorfrancis.com/books/9781003032755 Taylor & Francis |
| spellingShingle | Bertero, Mario 1938- Introduction to inverse problems in imaging Differentialgleichung (DE-588)4012249-9 gnd Mathematik (DE-588)4037944-9 gnd |
| subject_GND | (DE-588)4012249-9 (DE-588)4037944-9 |
| title | Introduction to inverse problems in imaging |
| title_auth | Introduction to inverse problems in imaging |
| title_exact_search | Introduction to inverse problems in imaging |
| title_exact_search_txtP | Introduction to inverse problems in imaging |
| title_full | Introduction to inverse problems in imaging Mario Bertero, Patrizia Boccacci, Christine De MoI. |
| title_fullStr | Introduction to inverse problems in imaging Mario Bertero, Patrizia Boccacci, Christine De MoI. |
| title_full_unstemmed | Introduction to inverse problems in imaging Mario Bertero, Patrizia Boccacci, Christine De MoI. |
| title_short | Introduction to inverse problems in imaging |
| title_sort | introduction to inverse problems in imaging |
| topic | Differentialgleichung (DE-588)4012249-9 gnd Mathematik (DE-588)4037944-9 gnd |
| topic_facet | Differentialgleichung Mathematik |
| url | https://www.taylorfrancis.com/books/9781003032755 |
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