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About this product
Product Information
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.Product Identifiers
PublisherCambridge University Press
ISBN-139781108421614
eBay Product ID (ePID)18049026977
Product Key Features
Number of Pages614 Pages
LanguageEnglish
Publication NameCompressive Imaging: Structure, Sampling, Learning
Publication Year2021
SubjectEngineering & Technology, Computer Science, Mathematics
TypeTextbook
AuthorAnders C. Hansen, Ben Adcock
FormatHardcover
Dimensions
Item Height248 mm
Item Weight1340 g
Item Width174 mm
Additional Product Features
Country/Region of ManufactureUnited Kingdom
Title_AuthorAnders C. Hansen, Ben Adcock
