Title: Wavelets in Signal and Image Analysis: From Theory to Practice (Computational Imaging and Vision, 19)
Publisher: Springer
Publication Date: 2001
Language: English
ISBN 10: 1402000537
ISBN 13: 9781402000539
Binding: Hardcover
Condition: New

About this title

Synopsis

Despite their novelty, wavelets have a tremendous impact on a number of modern scientific disciplines, particularly on signal and image analysis. Because of their powerful underlying mathematical theory, they offer exciting opportunities for the design of new multi-resolution processing algorithms and effective pattern recognition systems.
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.

Synopsis

Despite their novelty, wavelets have a tremendous impact on a number of modern scientific disciplines, particularly on signal and image analysis. Because of their powerful underlying mathematical theory, they offer exciting opportunities for the design of new multi-resolution processing algorithms and effective pattern recognition systems. This text provides an overview of current trends in the practical application of wavelet theory. It combines research in the rapidly-developing wavelet theory with ideas from practical signal and image analysis fields. Subjects dealt with include: wavelet theory and its specific application in diverse fields, ranging from data compression to seismic equipment, as well as advances in double density DWT, multiscale Bayesian estimation, symmetry and locality in image representation, and image fusion.

"About this title" may belong to another edition of this title.

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