Overview

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.

Full Product Details

Author:   A.A. Petrosian ,  F.G. Meyer
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2001 ed.
Volume:   19
Dimensions:   Width: 15.60cm , Height: 3.00cm , Length: 23.40cm
Weight:   0.998kg
ISBN:  

9781402000539

ISBN 10:   1402000537
Pages:   545
Publication Date:   30 November 2001
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

I Wavelet Design.- 1 Discrete-Time Wavelets.- 2 The Double Density DWT.- II Multiscale Analysis, Estimation and Filtering.- 3 Multiscale Bayesian Estimation and Data Rectification.- 4 Empirical Tests for Evaluation of Multirate Filter Bank Parameters.- 5 Symmetry and Locality in Image Representation.- 6 Towards Bridging Scale-Space and Multiscale Frame Analyses.- 7 Wavelet Domain Features for Texture/Pattern Description, Classification and Replicability Analysis.- 8 Wavelets for Image Fusion.- III Signal and Image Compression.- 9 Transform Coding of Signals with Bounded Finite Differences: from Fourier to Walsh, to Wavelets.- 10 Multi-layered Image Representation.- 11 Image Compression Through Level Lines and Wavelet Packets.- 12 Image Compression Using Spline Based Wavelet Transforms.- IV Applications in Biomedicine and other Fields.- 13 Spatio-Temporal Directional Analysis of Real-Time Three-Dimensional Cardiac Ultrasound.- 14 Wavelets for Computer-Aided Diagnosis in Radiographic Images.- 15 Wavelet Analysis of Event Related Potentials for Early Diagnosis of Alzheimer’s Disease.- 16 An Application of the DWT in Seismic Data Analysis.- 17 Application of Wavelet Analysis to Condition Monitoring of Electromechanical Equipment.

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