Compressive Imaging: Structure, Sampling, Learning by Ben Adcock (English) Hardc

$117.38

Compressive Imaging: Structure, Sampling, Learning by Ben Adcock, Anders C. Hansen

Estimated delivery 3-12 business days

Format Hardcover

Condition Brand New

Description This book provides a practical introduction to compressive imaging (with examples and code), an overview of core topics, and a comprehensive, rigorous treatment of the subject. It caters to graduate students, postdocs and faculty in mathematics, computer science, physics and engineering who want to learn about modern imaging techniques.

Publisher Description

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.

Details

ISBN 110842161X
ISBN-13 9781108421614
Title Compressive Imaging: Structure, Sampling, Learning
Author Ben Adcock, Anders C. Hansen
Format Hardcover
Year 2021
Pages 614
Publisher Cambridge University Press

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