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Wavelets in Signal and Image Analysis: From Theory to Practice (Computational Imaging and Vision) [Hardcover]

A.A. Petrosian (Editor), F.G. Meyer (Editor)

4.0 out of 5 stars See all reviews (1 customer review) |

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Book Description

ISBN-10: 1402000537 | ISBN-13: 978-1402000539 | Publication Date: October 1, 2001 | Edition: 1st

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.

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } 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.

Product Details

Hardcover: 556 pages
Publisher: Springer; 1st edition (October 1, 2001)
Language: English
ISBN-10: 1402000537
ISBN-13: 978-1402000539
Product Dimensions: 9.7 x 6.5 x 1.1 inches
Shipping Weight: 2.5 pounds

Average Customer Review: 4.0 out of 5 stars See all reviews (1 customer review)

Amazon Best Sellers Rank: #8,664,811 in Books (See Top 100 in Books)

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4.0 out of 5 stars short review, March 19, 2002

lisheng (P.R.China) - See all my reviews

This review is from: Wavelets in Signal and Image Analysis: From Theory to Practice (Computational Imaging and Vision) (Hardcover)

This book tells us some application on Wavelet in a brand-new way.
But is is not go deep into.

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Inside This Book (learn more)

First Sentence:
Originally, wavelets are continuous-time functions which can be obtained from a single function by dilations and translations, i.e. they have constant shape [Grossmann and Morlet. 1984: Daubechies. 1992]. Read the first page

Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
spatial denoising, temporal denoising, zonal sampling method, scaled signal coefficients, vertical ridge plot, packet coder, bounded finite differences, single scale data, speckle noise components, brushlet coefficients, transient vibration signals, wavelet packet dictionary, denoising performance, wavelet tight frames, data rectification, coefficients maxima, complex wavelet transform, oddball tones, fuse rule, ridge plots, filter batiks, ringing artefacts, local cosine basis, interpolatory splines, isoperimetric ratio

Key Phrases - Capitalized Phrases (CAPs): (learn more)
Kluwer Academic Publishers, Academic Press, International Conference, Lecture Notes, Prentice Hall, Technical Report, Englewood Cliffs, Lopes Da Silva, Using Spline Based Wavelet Transforms, Filter Bank Parameter Estimates, Multiscale Bavesian, San Diego, Seismic Data Analysis, American Cancer Society, Computational Toolsmiths, Function Band, Medical Physics, Information Theory, Oliver Rockinger, United States, Video Tech, Bayesian Reet

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Citations (learn more)

This book cites 67 books:

A Wavelet Tour of Signal Processing, Second Edition (Wavelet Analysis & Its Applications) by Stephane Mallat on page 192, page 211, and Back Matter
Ten Lectures on Wavelets (CBMS-NSF Regional Conference Series in Applied Mathematics) by Ingrid Daubechies on page 64, page 240, and Back Matter
Fundamentals of Digital Image Processing by Anil K. Jain on page 167, and page 279
Principles of Anatomy and Physiology, Atlas and Registration Card by Gerard J. Tortora on page 477
Discrete Representation of Spatial Objects in Computer Vision (Computational Imaging and Vision) by L.J. Latecki in Back Matter

See all 67 books this book cites

1 book cites this book:

Introduction to Information Theory and Data Compression, Second Edition (Discrete Mathematics and Its Applications) by D.C. Hankerson in Back Matter

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Scale Space Methods in Computer Vision by Lewis D. Griffin

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