Compressive imaging: structure, sampling, learning
Accurate, robust and fast image reconstruction is a critical task in many scientific, industrial and medical applications. Over the last decade, image reconstruction has been revolutionized by the rise of compressive imaging. It has fundamentally changed the way modern image reconstruction is perfor...
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| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2021
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | Accurate, robust and fast image reconstruction is a critical task in many scientific, industrial and medical applications. Over the last decade, image reconstruction has been revolutionized by the rise of compressive imaging. It has fundamentally changed the way modern image reconstruction is performed. This in-depth treatment of the subject commences with a practical introduction to compressive imaging, supplemented with examples and downloadable code, intended for readers without extensive background in the subject. Next, it introduces core topics in compressive imaging - including compressed sensing, wavelets and optimization - in a concise yet rigorous way, before providing a detailed treatment of the mathematics of compressive imaging. The final part is devoted to recent trends in compressive imaging: deep learning and neural networks. With an eye to the next decade of imaging research, and using both empirical and mathematical insights, it examines the potential benefits and the pitfalls of these latest approaches |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 16 Jul 2021) |
| Beschreibung: | 1 Online-Ressource (xv, 601 Seiten) |
| ISBN: | 9781108377447 |
| DOI: | 10.1017/9781108377447 |
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| isbn | 9781108377447 |
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| spelling | Adcock, Ben ca. 20./21. Jh. (DE-588)1240314817 aut Compressive imaging structure, sampling, learning Ben Adcock, Anders C. Hansen, Vegard Antun Cambridge Cambridge University Press 2021 1 Online-Ressource (xv, 601 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 16 Jul 2021) Accurate, robust and fast image reconstruction is a critical task in many scientific, industrial and medical applications. Over the last decade, image reconstruction has been revolutionized by the rise of compressive imaging. It has fundamentally changed the way modern image reconstruction is performed. This in-depth treatment of the subject commences with a practical introduction to compressive imaging, supplemented with examples and downloadable code, intended for readers without extensive background in the subject. Next, it introduces core topics in compressive imaging - including compressed sensing, wavelets and optimization - in a concise yet rigorous way, before providing a detailed treatment of the mathematics of compressive imaging. The final part is devoted to recent trends in compressive imaging: deep learning and neural networks. With an eye to the next decade of imaging research, and using both empirical and mathematical insights, it examines the potential benefits and the pitfalls of these latest approaches Image compression Digital images / Deconvolution Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Datenkompression (DE-588)4121121-2 gnd rswk-swf Entfaltung Mathematik (DE-588)4014854-3 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 s Datenkompression (DE-588)4121121-2 s Entfaltung Mathematik (DE-588)4014854-3 s DE-604 Hansen, Anders ca. 20./21. Jh. (DE-588)171675878 aut Antun, Vegard ca. 20./21. Jh. (DE-588)1240314914 aut Erscheint auch als Druck-Ausgabe 978-1-108-42161-4 https://doi.org/10.1017/9781108377447 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Adcock, Ben ca. 20./21. Jh Hansen, Anders ca. 20./21. Jh Antun, Vegard ca. 20./21. Jh Compressive imaging structure, sampling, learning Image compression Digital images / Deconvolution Bildverarbeitung (DE-588)4006684-8 gnd Datenkompression (DE-588)4121121-2 gnd Entfaltung Mathematik (DE-588)4014854-3 gnd |
| subject_GND | (DE-588)4006684-8 (DE-588)4121121-2 (DE-588)4014854-3 |
| title | Compressive imaging structure, sampling, learning |
| title_auth | Compressive imaging structure, sampling, learning |
| title_exact_search | Compressive imaging structure, sampling, learning |
| title_exact_search_txtP | Compressive imaging structure, sampling, learning |
| title_full | Compressive imaging structure, sampling, learning Ben Adcock, Anders C. Hansen, Vegard Antun |
| title_fullStr | Compressive imaging structure, sampling, learning Ben Adcock, Anders C. Hansen, Vegard Antun |
| title_full_unstemmed | Compressive imaging structure, sampling, learning Ben Adcock, Anders C. Hansen, Vegard Antun |
| title_short | Compressive imaging |
| title_sort | compressive imaging structure sampling learning |
| title_sub | structure, sampling, learning |
| topic | Image compression Digital images / Deconvolution Bildverarbeitung (DE-588)4006684-8 gnd Datenkompression (DE-588)4121121-2 gnd Entfaltung Mathematik (DE-588)4014854-3 gnd |
| topic_facet | Image compression Digital images / Deconvolution Bildverarbeitung Datenkompression Entfaltung Mathematik |
| url | https://doi.org/10.1017/9781108377447 |
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