Wavelets in Signal and Image Analysis
Subtitle: From Theory to Practice
By: edited by Arthur A. Petrosian, François G. Meyer
Contributors: Meyer, François G.
Series: Computational Imaging and Vision -- 19; Computational Imaging and Vision -- 19
Publisher: Springer Netherlands
Published: 2001
Place of publication: Dordrecht
Language: eng
Format: [electronic resource] :
Number of pages: 545
ISBN-13: 9789048158386; 9789401597159
Subjects: Mathematics; Engineering; Computer vision; Medical Radiology; Fourier analysis
Description: 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.
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