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  3. Billedbehandling: systemer og teknologi

Compressive Imaging: Structure, Sampling, Learning

Af: Ben Adcock, Anders C. Hansen Engelsk Hardback

Compressive Imaging: Structure, Sampling, Learning

Af: Ben Adcock, Anders C. Hansen Engelsk Hardback
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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.
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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.
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Produktdetaljer
Sprog: Engelsk
Sider: 614
ISBN-13: 9781108421614
Indbinding: Hardback
Udgave:
ISBN-10: 110842161X
Kategori: Billedbehandling: systemer og teknologi
Udg. Dato: 16 sep 2021
Længde: 35mm
Bredde: 178mm
Højde: 250mm
Forlag: Cambridge University Press
Oplagsdato: 16 sep 2021
Forfatter(e): Ben Adcock, Anders C. Hansen
Forfatter(e) Ben Adcock, Anders C. Hansen

Kategori Billedbehandling: systemer og teknologi

ISBN-13 9781108421614

Sprog Engelsk

Indbinding Hardback

Sider 614

Udgave

Længde 35mm

Bredde 178mm

Højde 250mm

Udg. Dato 16 sep 2021

Oplagsdato 16 sep 2021

Forlag Cambridge University Press

Kategori sammenhænge