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Wavelet Analysis with Applications to Image Processing
 
 
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Wavelet Analysis with Applications to Image Processing (Hardcover)

by Lakshman Prasad (Author), S. Sitharama Iyengar (Author) "The following is a glossary of some of the symbols and abbreviations used freely in this book ..." (more)
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Product details

  • Hardcover: 304 pages
  • Publisher: CRC Press; 1 edition (16 Jun 1997)
  • Language English
  • ISBN-10: 0849331692
  • ISBN-13: 978-0849331695
  • Product Dimensions: 24.3 x 16.4 x 2.2 cm
  • Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)
  • Amazon.co.uk Sales Rank: 2,045,882 in Books (See Bestsellers in Books)

    Popular in these categories:

    #51 in  Books > Scientific, Technical & Medical > Mathematics > Calculus & Mathematical Analysis > Fourier Analysis
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Product Description

Product 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.

From the Back Cover
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.
Inside This Book (Learn More)
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The following is a glossary of some of the symbols and abbreviations used freely in this book. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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5.0 out of 5 stars I'm MS student at Isfahan Univ of Tech in IRAN, 27 Jun 1999
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my these is object detection or pattren recognation
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