Compressive imaging: structure, sampling, learning
by Adcock, Ben
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 ba…
Read More ↓Title Statements
- Full title :Compressive imaging : structure, sampling, learning / Ben Adcock, Simon Fraser University ; Anders C. Hansen, University of Cambridge ; with contributions by ...
Summary
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.
Read More ↓Edition Statements
- Publication Date:2021
Publication Statements
- Publisher(s):Cambridge University Press
- Place of Publication:Cambridge
- Language:eng
- Publication Date:2021
Notes
Title from publisher's bibliographic system (viewed on 16 Jul 2021).
The Physical Object
- Description:xv, 601 Seiten : : Illustrationen, Diagramme
Edition Identifiers
- ISBN:9781108421614, 110842161X
- oclc:on1286878339
- Dewey Decimal:006.6
Writers
No reviews yet. Be the first to rate this work.
Rate & Review