Wavelet Analysis with Applications to Image Processing
1st Edition
Published on 29. January 2020
304 pages
978-1-000-72198-0 (ISBN)
Description
Wavelet analysis is among the newest additions to the arsenals of mathematicians, scientists, and engineers, and offers common solutions to diverse problems. However, students and professionals in some areas of engineering and science, intimidated by the mathematical background necessary to explore this subject, have been unable to use this powerful tool.
The first book on the topic for readers with minimal mathematical backgrounds, Wavelet Analysis with Applications to Image Processing provides a thorough introduction to wavelets with applications in image processing. Unlike most other works on this subject, which are often collections of papers or research advances, this book offers students and researchers without an extensive math background a step-by-step introduction to the power of wavelet transforms and applications to image processing.
The first four chapters introduce the basic topics of analysis that are vital to understanding the mathematics of wavelet transforms. Subsequent chapters build on the information presented earlier to cover the major themes of wavelet analysis and its applications to image processing. This is an ideal introduction to the subject for students, and a valuable reference guide for professionals working in image processing.
The first book on the topic for readers with minimal mathematical backgrounds, Wavelet Analysis with Applications to Image Processing provides a thorough introduction to wavelets with applications in image processing. Unlike most other works on this subject, which are often collections of papers or research advances, this book offers students and researchers without an extensive math background a step-by-step introduction to the power of wavelet transforms and applications to image processing.
The first four chapters introduce the basic topics of analysis that are vital to understanding the mathematics of wavelet transforms. Subsequent chapters build on the information presented earlier to cover the major themes of wavelet analysis and its applications to image processing. This is an ideal introduction to the subject for students, and a valuable reference guide for professionals working in image processing.
More details
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Product notice
Reflowable
ISBN-13
978-1-000-72198-0 (9781000721980)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Lakshman Prasad | S. S. Iyengar
Wavelet Analysis with Applications to Image Processing
Book
06/1997
1st Edition
CRC Press
€229.03
Shipment within 15-20 days
Persons
Dr. Lakshman Prasad obtained his master's degree in Mathematics from the Indian Institute of Technology in Kanpur and later did research in Mathematics at the Tata Institute of Fundamental Research. He obtained his Ph.D. in Computer Science at Louisiana State University in 1995., Dr. Prasad is currently with the Theoretical Division of the Los Alamos National Laboratory. His areas of interest include signal processing, applied harmonic analysis, wavelet transform theory, mathematical morphology with applications to pattern recognition and machine vision, and computational geometry. He has published one book and many research papers in these and other areas., Dr. S. S. Iyengar is Chairman and Professor of the Department of Computer Science at Louisiana State University and an IEEE Fellow. Since receiving his Ph.D. from Mississippi State University in 1974, he has served as a principal investigator on research projects funded by the Office of Naval Research, National Science Foundation, U.S. Army Research Office, Department of Energy, Naval Research Laboratory, NASA Jet Propulsion Laboratory, and various agencies of the State of Louisiana., Dr. Iyengar has made significant contributions to the areas of high performance image processing algorithms, sensor fusion, parallel models of computation, robot motion planning, and computer vision. He has published several books and monographs in addition to over 200 research articles., Dr. Iyengar has served as guest editor for IEEE Computer, IEEE Transactions of Data and Knowledge Engineering, IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Software Engineering, the Journal of Theoretical Computer Science, the Journal of Computers and Electrical Engineering, and the Journal of the Franklin Institute. In addition to being an IEEE Fellow, he is also a distinguished visitor of the IEEE and a member of the New York Academy of Sciences. In 1996, he was awarded the LSU Distinguished Faculty Award and the Tiger Athletic Foundation Teaching Award. He has supervised over 26 Ph.D. dissertations and over 40 M.S. projects and theses while at LSU.
Content
Preliminaries. Linear, Metric, and Hilbert Spaces. Integration. Fourier Analysis. Wavelet Analysis. Construction of Wavelets. Wavelets in Image Processing. Appendix. Index.
Back Cover Copy
Back Cover Copy
