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Table of contents (17 chapters)
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Front Matter
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Wavelet Design
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Front Matter
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Multiscale Analysis, Estimation and Filtering
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Front Matter
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Applications in Biomedicine and other Fields
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Front Matter
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Keywords
About this book
This book provides a much-needed overview of current trends in the practical application of wavelet theory. It combines cutting edge research in the rapidly developing wavelet theory with ideas from practical signal and image analysis fields. Subjects dealt with include balanced discussions on wavelet theory and its specific application in diverse fields, ranging from data compression to seismic equipment. In addition, the book offers insights into recent advances in emerging topics such as double density DWT, multiscale Bayesian estimation, symmetry and locality in image representation, and image fusion.
Audience: This volume will be of interest to graduate students and researchers whose work involves acoustics, speech, signal and image processing, approximations and expansions, Fourier analysis, and medical imaging.
Editors and Affiliations
Bibliographic Information
Book Title: Wavelets in Signal and Image Analysis
Book Subtitle: From Theory to Practice
Editors: Arthur A. Petrosian, François G. Meyer
Series Title: Computational Imaging and Vision
DOI: https://doi.org/10.1007/978-94-015-9715-9
Publisher: Springer Dordrecht
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media B.V. 2001
Hardcover ISBN: 978-1-4020-0053-9Published: 30 November 2001
Softcover ISBN: 978-90-481-5838-6Published: 05 December 2010
eBook ISBN: 978-94-015-9715-9Published: 09 March 2013
Series ISSN: 1381-6446
Edition Number: 1
Number of Pages: XI, 545
Topics: Acoustics, Signal, Image and Speech Processing, Image Processing and Computer Vision, Approximations and Expansions, Fourier Analysis, Imaging / Radiology
Industry Sectors: Aerospace