Wavelet Analysis with Applications to Image Processing
eBook - ePub

Wavelet Analysis with Applications to Image Processing

  1. 304 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Wavelet Analysis with Applications to Image Processing

Book details
Table of contents
Citations

About This Book

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.

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Yes, you can access Wavelet Analysis with Applications to Image Processing by Lakshman Prasad,S. Sitharama Iyengar in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2020
ISBN
9781000721980
Edition
1
Topic
Mathematics
Subtopic
Applied Mathematics
Index
Mathematics

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Preface
  5. Acknowledgement
  6. Table of Contents
  7. List of Figures
  8. 1 Introduction and Mathematical Preliminaries
  9. 2 Linear Spaces, Metric Spaces, and Hilbert Spaces
  10. 3 Integration
  11. 4 Fourier Analysis
  12. 5 Wavelet Analysis
  13. 6 Construction of Wavelets
  14. 7 Wavelets in Image Processing
  15. A Bezout’s Theorem
  16. Bibliography
  17. Index