Super-Resolution Imaging. Peyman Milanfar

Super-Resolution Imaging


Super.Resolution.Imaging.pdf
ISBN: 1439819300,9781439819302 | 492 pages | 25 Mb

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Super-Resolution Imaging Peyman Milanfar
Publisher: CRC Press


This book functions as the definitive overview of the field of super-resolution imaging. Written by the leading researchers in the field of image and video super-resolution, it surveys the latest state-of-the-art techniques in super-resolution imaging. Each detailed chapter provides coverage of the implementations and applications of super-resolution imaging. Its 14 sections span a wide range of modern super-resolution imaging techniques and includes variational, Bayesian, feature-based, multi-channel, learning-based, locally adaptive, and nonparametric methods. It discusses, among others, medical, military, and remote-sensing applications. The book can be used as a reference, a basis for short-courses on the subject, or as part of a graduate course on digital image processing.

About the Author

Peyman Milanfar is Professor of Electrical Engineering at the University of California, Santa Cruz. He received a B.S. degree in Electrical Engineering/Mathematics from the University of California, Berkeley, and a Ph.D. degree in Electrical Engineering from the Massachusetts Institute of Technology. Prior to coming to UCSC, he was at SRI (formerly Stanford Research Institute) and a Consulting Professor of computer science at Stanford. In 2005 he founded MotionDSP Inc., to bring state-of-art video enhancement technology to consumer and forensic markets. His technical expertise are in statistical signal, image and video processing, and computational vision. He is a Fellow of the IEEE, for contributions to inverse problems and super-resolution in imaging.



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