Motion Deblurring_ Algorithms and Systems [Rajagopalan & Chellappa 2014-07-21].pdf

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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
C
HELLAPPA
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.
Motion Deblurring
Algorithms and Systems
Edited by
A.N. RAJAGOPALAN
Indian Institute of Technology, Madras
RAMA CHELLAPPA
University of Maryland, College Park
University Printing House, Cambridge CB2 8BS, United Kingdom
Published in the United States of America by Cambridge University Press, New York
Cambridge University Press is part of the University of Cambridge.
It furthers the University’s mission by disseminating knowledge in the pursuit of
education, learning and research at the highest international levels of excellence.
www.cambridge.org
Information on this title:
www.cambridge.org/9781107044364
© Cambridge University Press 2014
This publication is in copyright. Subject to statutory exception
and to the provisions of relevant collective licensing agreements,
no reproduction of any part may take place without the written
permission of Cambridge University Press.
First published 2014
Printed in the United Kingdom by XXXXXXXXXXXXXXXXXXXXXXY
A catalog record for this publication is available from the British Library
Library of Congress Cataloguing in Publication Data
ISBN 978-1-107-04436-4 Hardback
Cambridge University Press has no responsibility for the persistence or accuracy of
URLs for external or third-party internet websites referred to in this publication,
and does not guarantee that any content on such websites is, or will remain,
accurate or appropriate.

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