Natural Image Statistics A Probabilistic Approach to Early Computati
One of the most successful frameworks in computational neuroscience is modelling visual processing using the statistical structure of natural images. In this framework, the visual system of the brain constructs a model of the statistical regularities of t
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Computational Imaging and Vision Managing Editor MAX VIERGEVER Utrecht University, The Netherlands Series Editors GUNILLA BORGEFORS, Centre for Image Analysis, SLU, Uppsala, Sweden RACHID DERICHE, INRIA, France THOMAS S. HUANG, University of Illinois, Urbana, U.S.A. KATSUSHI IKEUCHI, Tokyo University, Japan TIANZI JIANG, Institute of Automation, CAS, Beijing REINHARD KLETTE, University of Auckland, New Zealand ALES LEONARDIS, ViCoS, University of Ljubljana, Slovenia HEINZ-OTTO PEITGEN, CeVis, Bremen, Germany JOHN K. TSOTSOS, York University, Canada This comprehensive book series embraces state-of-the-art expository works and advanced research monographs on any aspect of this interdisciplinary field. Topics covered by the series fall in the following four main categories: • Imaging Systems and Image Processing • Computer Vision and Image Understanding • Visualization • Applications of Imaging Technologies Only monographs or multi-authored books that have a distinct subject area, that is where each chapter has been invited in order to fulfill this purpose, will be considered for the series.
Volume 39 For other titles published in this series, go to www.springer.com/series/5754
Natural Image Statistics A Probabilistic Approach to Early Computational Vision
Written by
Aapo Hyvärinen University of Helsinki, Finland
Jarmo Hurri University of Helsinki, Finland and
Patrik O. Hoyer University of Helsinki, Finland
Aapo Hyvärinen University of Helsinki Dept. Mathematics & Statistics and Dept. Computer Science Finland
Patrik O. Hoyer University of Helsinki Dept. Computer Science Finland
Jarmo Hurri University of Helsinki Dept. Computer Science Finland
ISSN 1381-6446 Computational Imaging and Vision ISBN 978-1-84882-490-4 e-ISBN 978-1-84882-491-1 Springer Dordrecht Heidelberg London New York British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Control Number: 2009923579 AMS Codes: 62H35, 92B20, 91E30, 68U10, 68T05, 94A08, 92C20 ©Springer-Verlag London Limited 2009 Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licenses issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers. The use of 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 laws and regulations and therefore free for general use. The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be mad
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