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“9781107044364AR” — 2013/12/20 — 9:50 — page i — #1
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Motion Deblurring provides a comprehensive guide to restoring images degraded by
motion blur, bridging traditional approaches and emerging computational photography-
based techniques, and bringing together a wide range of methods emerging from basic
theory and cutting-edge research. It encompasses both algorithms and architectures,
providing detailed coverage of practical techniques by leading researchers.
From an algorithms perspective, blind and non-blind approaches are discussed,
including the use of single or multiple images, projective motion blur models, image
priors and parametric models, high dynamic range imaging in the irradiance domain,
and image recognition in blur. Performance limits for motion deblurring cameras are
also presented.
From a systems perspective, hybrid frameworks combining low resolution high-speed
and high resolution low-speed cameras are covered, along with the use of inertial sensors
and coded exposure cameras. An architecture exploiting compressive sensing for video
recovery is also described.
This book will be a valuable resource for researchers and practitioners in computer
vision, image processing, and related fields.
A.N. R
AJAGOPALAN is a Professor in the Department of Electrical Engineering at the Indian
Institute of Technology, Madras. He co-authored the book Depth From Defocus: A Real
Aperture Imaging Approach in 1998. He is a Fellow of the Alexander von Humboldt
Foundation, Germany, Fellow of the Indian National Academy of Engineering, and a
Senior Member of the IEEE. He received the Outstanding Investigator Award from the
Department of Atomic Energy, India, in 2012 and the VASVIK award in 2013.
R
AMA CHELLAPPA is Minta Martin Professor of Engineering and an affiliate Professor of
Computer Science at University of Maryland, College Park. He is also affiliated with the
Center for Automation Research and UMIACS, and is serving as the Chair of the ECE
department. He is a recipient of the K.S. Fu Prize from IAPR and the Society, Technical
Achievement and Meritorious Service Awards from the IEEE Signal Processing Society.
He also received the Technical Achievement and Meritorious Service Awards from the
IEEE Computer Society. In 2010, he was recognized as an Outstanding ECE by Purdue
University. He is a Fellow of IEEE, IAPR, OSA and AAAS, a Golden Core Member
of the IEEE Computer Society, and has served as a Distinguished Lecturer of the IEEE
Signal Processing Society, and as the President of IEEE Biometrics Council.
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