Ebook: Wavelets in Signal and Image Analysis: From Theory to Practice

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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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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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.
Content:
Front Matter....Pages i-xi
Front Matter....Pages 1-1
Discrete-Time Wavelets....Pages 3-38
The Double Density DWT....Pages 39-66
Front Matter....Pages 67-67
Multiscale Bayesian Estimation and Data Rectification....Pages 69-110
Empirical Tests for Evaluation of Multirate Filter Bank Parameters....Pages 111-139
Symmetry and Locality in Image Representation....Pages 141-168
Towards Bridging Scale-Space and Multiscale Frame Analyses....Pages 169-192
Wavelet Domain Features for Texture/Pattern Description, Classification and Replicability Analysis....Pages 193-212
Wavelets for Image Fusion....Pages 213-241
Front Matter....Pages 243-243
Transform Coding of Signals with Bounded Finite Differences: from Fourier to Walsh, to Wavelets....Pages 245-280
Multi-Layered Image Representation....Pages 281-304
Image Compression Through Level Lines and Wavelet Packets....Pages 305-339
Image Compression Using Spline Based Wavelet Transforms....Pages 341-376
Front Matter....Pages 377-377
Spatio-Temporal Directional Analysis of Real-Time Three Dimensional Cardiac Ultrasound....Pages 379-416
Wavelets for Computer-Aided Diagnosis in Radiographic Images....Pages 417-452
Wavelet Analysis of Event Related Potentials for Early Diagnosis of Alzheimer’s Disease....Pages 453-478
An Application of the DWT in Seismic Data Analysis....Pages 479-500
Application of Wavelet Analysis to Condition Monitoring of Electromechanical Equipment....Pages 501-541
Back Matter....Pages 542-545

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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.
Content:
Front Matter....Pages i-xi
Front Matter....Pages 1-1
Discrete-Time Wavelets....Pages 3-38
The Double Density DWT....Pages 39-66
Front Matter....Pages 67-67
Multiscale Bayesian Estimation and Data Rectification....Pages 69-110
Empirical Tests for Evaluation of Multirate Filter Bank Parameters....Pages 111-139
Symmetry and Locality in Image Representation....Pages 141-168
Towards Bridging Scale-Space and Multiscale Frame Analyses....Pages 169-192
Wavelet Domain Features for Texture/Pattern Description, Classification and Replicability Analysis....Pages 193-212
Wavelets for Image Fusion....Pages 213-241
Front Matter....Pages 243-243
Transform Coding of Signals with Bounded Finite Differences: from Fourier to Walsh, to Wavelets....Pages 245-280
Multi-Layered Image Representation....Pages 281-304
Image Compression Through Level Lines and Wavelet Packets....Pages 305-339
Image Compression Using Spline Based Wavelet Transforms....Pages 341-376
Front Matter....Pages 377-377
Spatio-Temporal Directional Analysis of Real-Time Three Dimensional Cardiac Ultrasound....Pages 379-416
Wavelets for Computer-Aided Diagnosis in Radiographic Images....Pages 417-452
Wavelet Analysis of Event Related Potentials for Early Diagnosis of Alzheimer’s Disease....Pages 453-478
An Application of the DWT in Seismic Data Analysis....Pages 479-500
Application of Wavelet Analysis to Condition Monitoring of Electromechanical Equipment....Pages 501-541
Back Matter....Pages 542-545
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