Compressive Imaging: Structure, Sampling, Learning

Compressive Imaging: Structure, Sampling, Learning
Author: Ben Adcock and Anders C. Hansen
Publisher Finelybook 出版社:Cambridge University Press; 1st edition (September 16, 2021)
Language 语言:English
pages 页数:614 pages
ISBN-10 书号:110842161X
ISBN-13 书号:9781108421614

Book 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 Author: 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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