Last edited by Vudogami
Saturday, August 1, 2020 | History

4 edition of Wavelet Applications in Signal and Image Processing VIII found in the catalog.

Wavelet Applications in Signal and Image Processing VIII

31 July-4 August 2000, San Diego, USA (Proceedings of Spie--the International Society for Optical Engineering, V. 4119.)

  • 329 Want to read
  • 38 Currently reading

Published by SPIE-International Society for Optical Engine .
Written in English

    Subjects:
  • General,
  • Technology & Industrial Arts,
  • Congresses,
  • Image processing,
  • Mathematics,
  • Signal processing,
  • Wavelets (Mathematics),
  • Science/Mathematics

  • Edition Notes

    ContributionsSociety of Photo-Optical Instrumentation Engineers (Corporate Author), Society for Industrial and Applied Mathematics (Corporate Author), Akram Aldroubi (Editor), Andrew Laine (Editor), Michael A. Unser (Editor)
    The Physical Object
    FormatPaperback
    Number of Pages1136
    ID Numbers
    Open LibraryOL11393239M
    ISBN 100819437646
    ISBN 109780819437648

    The present book: Discrete Wavelet Transforms: Theory and Applications describes the latest progress in DWT analysis in non-stationary signal processing, multi-scale image enhancement as well as in biomedical and industrial applications. Each book chapter is a separate entity providing examples both the theory and applications.   With the development of information technology, people access information more and more rely on the network, and more than 80% of the information in the network is replaced by multimedia technology represented by images. Therefore, the research on image processing technology is very important, but most of the research on image processing technology is focused on a certain aspect.

      Patrice Abry is a Professor in the Laboratoire de Physique at the Ecole Normale Superieure de Lyon, France. His current research interests include wavelet-based analysis and modelling of scaling phenomena and related topics, stable processes, multi-fractal, long-range dependence, local regularity of processes, infinitely divisible cascades and departures from exact . This book emphasizes the practical applications of signal processing. Over MATLAB examples and wavelet techniques provide the latest applications of DSP, including image processing, games, filters, transforms, networking, parallel processing, and sound.

    Coifman RR, Meyer Y and Wickerhauser () Wavelet analysis and signal processing. In Ruski MB et al. (ed.) Wavelet and their applications, pp–, Jones and Bartlett, Boston Google Scholar. Several applications of filter banks and wavelets in signal processing are covered, including signal coding, image compression, and noise reduction. For readers interested in image compression, a detailed overview of the JPEG standard is also provided.


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Wavelet Applications in Signal and Image Processing VIII Download PDF EPUB FB2

Wavelet Applications in Signal and Image Processing VIII: 31 July-4 AugustSan Diego, USA (Proceedings of Spie--The International Society for Optical Engineering, V. ) [Society of Photo-Optical Instrumentation Engineers, Society for Industrial and Applied Mathematics, Aldroubi, Akram, Laine, Andrew, Unser, Michael A.] on *FREE* shipping on qualifying.

Wavelet Applications in Signal and Image Processing VIII Editor(s): Akram Aldroubi ; Andrew F. Laine ; Michael A. Unser *This item is only available on the SPIE Digital Library.

This well-written textbook is an introduction to the theory of discrete wavelet transform (DWT) and its applications in digital signal and image processing. The DWT is presented by the author from a digital signal processing point of view.5/5(1).

This easily accessible text makes the learning of the discrete wavelet transform (DWT) easy to understand. Relatively new, DWT is fast becoming a widely used technique in signal and image processing applications, and is essential to know for all signal processing specialists.5/5(1).

Spline and Spline Wavelet Methods with Applications to Signal and Image Processing provides a practical guide, complete with accompanying MATLAB software, to many different types of polynomial and discrete splines and spline-based wavelets, multiwavelets, and wavelet frames in signal and image processing applications.

In self-contained form, it briefly outlines a broad range of polynomial and. This book is intended to serve as an invaluable reference for anyone concerned with the application of wavelets to signal processing.

It has evolved from material used to teach "wavelet signal processing" courses in electrical engineering departments at Massachusetts Institute of Technology and Tel Aviv University, as well as applied mathematics departments at the Courant Institute of New York 5/5(2).

Product Information. This book provides a practical guide, complete with accompanying Matlab software, to many different types of polynomial and discrete splines and spline-based wavelets, multiwavelets and wavelet frames in signal and image processing applications.

“This book is the second volume in an extensive treatment of splines, spline wavelets, and their applications to signal and image processing. The book provides a self-contained and extensive exposition of the fundamentals of both splines and wavelets transforms.

This book belongs on the shelf of every researcher in signal and image. This book provides a practical guide, complete with accompanying Matlab software, to many different types of polynomial and discrete splines and spline-based wavelets, multiwavelets and wavelet frames.

Books on the wavelet thery. This book is an invaluable resource for researchers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering.

Read the latest chapters of Wavelet Analysis and Its Applications atElsevier’s leading platform of peer-reviewed scholarly literature Book chapter Full text access Redundant Waveform Representation for Signal Processing and Image Analysis.

select article Noise Reduction in Terms of the Theory of Frames. Download Wavelet Applications in Signal and Image Processing VII: July Denver Colorado. This volume provides universal methodologies accompanied by Matlab software to manipulate numerous signal and image processing applications.

It is done with discrete and polynomial periodic splines. Various contributions of splines to signal and image processing from a. during the last ten years have led to many new wavelet applications such as image compression, turbulence, human vision, radar, and earthquake prediction.

This paper introduces wavelets to the interested technical person outside of the digital signal processing fleld. I describe the history of. Over Matlab projects and wavelet techniques provide the latest applications of DSP, including image processing, games, filters, transforms, networking, parallel processing, and book also provides the mathematical processes and techniques needed to 5/5(2).

A Wavelet Tour of Signal Processing: The Sparse Way, Third Edition, is an invaluable resource for researchers and R&D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and.

As the applications of wavelet transform have spread to diverse areas of signal analysis and compression, students and practitioners need a practical introduction and overview. This textbook provides that concise and practical introduction to the underlying foundations and important applications.

“The purpose of this book is to thoroughly prepare the reader for a research in spline and spline wavelet methods to signal and image processing theory at an advance level. The book is a textbook for graduate students and one of the major consulting reference for the researcher in the field of spline wavelet theory and image processing.

Written by researchers Raghuveer M. Rao and Ajit S. Bopardikar, Wavelet Transforms provides engineers, scientists, and students with a practical understanding of wavelet transforms and their properties.

The authors introduce the underlying theory of the transform by presenting a wide range of applications, such as signal processing, image processing, and communications.4/5(1).

The last 15 years have seen an explosion of interest in wavelets with applications in fields such as image compression, turbulence, human vision, radar and earthquake prediction.

Wavelets represent an area that combines signal in image processing, mathematics, physics and electrical engineering. As such, this title is intended for the wide audience that is interested in mastering the basic.

It expands the methodology from periodic splines, which were presented in the first volume, to non-periodic splines. Together, these books provide a universal toolbox accompanied by MATLAB software for manipulating polynomial and discrete splines, spline-based wavelets, wavelet packets and wavelet frames for signal/ image processing by: 6.Stephane Mallat's book A Wavelet Tour of Signal Processing is a must for anybody interested in learning about wavelets.

It provides a clear and solid theoretical foundation directed towards applications. Its unusual breadth makes it interesting to engineers, physicists and mathematicians alike.Used to detect signals against noise, wavelet analysis excels for transients or for spatiallylocalized phenomena.

In this fourth volume in the renown WAVELET ANALYSIS AND ITS APPLICATIONS Series, Efi Foufoula-Georgiou and Praveen Kumar begin with a self-contained overview of the nature, power, and scope of wavelet transforms.