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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.
CAA is the foremost conference on digital archaeology, and this volume offers a comprehensive and up-to date reference to the state of the art. This volume contains a selection of the best papers presented at the 40th Annual Conference of Computer Applications and Quantitative Methods in Archaeology (CAA), held in Southampton from 26 to 29 March 2012. The papers, all written and peer-reviewed by experts in the field of digital archaeology, explore a multitude of topics to showcase ground-breaking technologies and best practice from various archaeological and informatics disciplines, with a variety of case studies from all over the world. Download the Table of Contents and a sample chapter