Foundations of Computational Imaging: A Model-Based Approach - Softcover

Charles A. Bouman

 
9781611977127: Foundations of Computational Imaging: A Model-Based Approach
Softcover
ISBN 10: 1611977126 ISBN 13: 9781611977127
Publisher: SIAM-Society for Industrial and Applied Mathematics, 2022

Synopsis

Collecting a set of classical and emerging methods not available in a single treatment, Foundations of Computational Imaging: A Model-Based Approach is the first book to define a common foundation for the mathematical and statistical methods used in computational imaging. The book brings together a blend of research with applications in a variety of disciplines, including applied math, physics, chemistry, optics, and signal processing, to address a collection of problems that can benefit from a common set of methods.

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About the Author

Charles A. Bouman is the Showalter Professor of Electrical and Computer Engineering and Biomedical Engineering at Purdue University. His research in computational imaging focuses on the integration of statistical signal processing, physics, and computation and on the development of applications in healthcare and for scientific, industrial, and consumer imaging products. His research resulted in the first commercial model-based iterative reconstruction system for medical X-ray computed tomography. He is co-inventor on more than 50 issued patents licensed for use in millions of consumer imaging products.

"About this title" may belong to another edition of this title.

Publisher
SIAM-Society for Industrial and Applied Mathematics
Publication date
2022
Language
English
ISBN 10 
1611977126
ISBN 13 
9781611977127
Binding
Paperback
Number of pages
349