Image Fusion Theories, Techniques and Applications
This textbook provides a comprehensive introduction to the theories, techniques and applications of image fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science. It should also be usef
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H.B. Mitchell
Image Fusion Theories, Techniques and Applications
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H.B. Mitchell Rehov Brosh 16/2 Mazkaret Batya Israel E-mail: [email protected]
ISBN 978-3-642-11215-7
e-ISBN 978-3-642-11216-4
DOI 10.1007/978-3-642-11216-4 Library of Congress Control Number: 2009941080 c 2010 Springer-Verlag Berlin Heidelberg
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Typesetting: Data supplied by the authors Production: Scientific Publishing Services Pvt. Ltd., Chennai, India Cover Design: WMX Design, Heidelberg, Germany Printed in acid-free paper 987654321 springer.com
This book is dedicated to my wife MARGOT HELENA MITCHELL A woman of worth who can find? For her price is far above rubies. Proverbs
Preface
The purpose of this book is to provide a practical introduction to the theories, techniques and applications of image fusion. The present work has been designed as a textbook for a one-semester final-year undergraduate, or firstyear graduate, course in image fusion. It should also be useful to practising engineers who wish to learn the concepts of image fusion and apply them to practical applications. In addition, the book may also be used as a supplementary text for a graduate course on topics in advanced image processing. The book complements the author’s previous work on multi-sensor data fusion[1] by concentrating exclusively on the theories, techniques and applications of image fusion. The book is intended to be self-contained in so far as the subject of image fusion is concerned, although some prior exposure to the field of computer vision and image processing may be helpful to the reader. Apart from two preliminary chapters, the book is divided into three parts. Part I deals with the conceptual theories and ideas which underlie image fusion. Here we emphasize the concept of a common representational framework and include detailed discussions on image registration, radiometric calibration and semantic equalization. Part II deals with a wide range of techniques and algorithms which are in common use in image fusion. Among the topics considered are: sub-space transformations, multi-resolution analysis, wavelets, ensemble learning, bagging, boosting, color spaces, image thresholding, Markov random fields, image s
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