| Wavelets in Signal and Image Analysis: From Theory to Practice 2001 Edition Contributor(s): Petrosian, A. a. (Editor), Meyer, F. G. (Editor) |
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ISBN: 1402000537 ISBN-13: 9781402000539 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: November 2001 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Telecommunications - Medical | Radiology, Radiotherapy & Nuclear Medicine - Computers | Image Processing |
| Dewey: 621.382 |
| LCCN: 2001045957 |
| Series: Computational Imaging and Vision |
| Physical Information: 1.08" H x 6.5" W x 9.68" (2.47 lbs) 545 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |