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Fractal and Wavelet Image Compression Techniques (SPIE Tutorial Texts in Optical Engineering Vol. TT40)
 
 
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Fractal and Wavelet Image Compression Techniques (SPIE Tutorial Texts in Optical Engineering Vol. TT40) [Paperback]

Stephen Welstead (Author)
5.0 out of 5 stars  See all reviews (2 customer reviews)

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Book Description

0819435031 978-0819435033 December 10, 1999
Interest in image compression for Internet and other multimedia applications has spurred research into compression techniques that will increase storage capabilities and transmission speed. This tutorial provides a practical guide to fractal and wavelet approaches--two techniques with exciting potential. It is intended for scientists, engineers, researchers, and students. It provides both introductory information and implementation details. Three Windows-compatible software systems are included so that readers can explore the new technologies in depth. Complete C/C++ source code is provided, enabling readers to go beyond the accompanying software. The mathematical presentation is accessible to advanced undergraduate or beginning graduate students in technical fields.

Contents

- Preface
- Introduction
- Iterated Function Systems
- Fractal Encoding of Grayscale Images
- Speeding Up Fractal Encoding
- Simple Wavelets
- Daubechies Wavelets
- Wavelet Image Compression Techniques
- Comparison of Fractal and Wavelet Image Compression
- References
- Appendix A: Using the Accompanying Software
- Appendix B: Utility Windows Library (UWL)
- Appendix C: Organization of the Accompanying Software Source Code


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Editorial Reviews

About the Author

Stephen Welstead received the Ph.D. degree in applied mathematics from Purdue University. He is the author of ''Neural Network and Fuzzy Logic Applications in C/C++'' and numerous papers and presentations on neural networks, fractal image encoding, chaos and dynamical systems, and signal processing, along with several articles on Windows programming techniques. He has taught short courses on fractal and wavelet image compression, neural networks, and fuzzy logic. He also has been adjunct associate professor of mathematics at the University of Alabama at Huntsvelle, where he developed and taught a graduate-level course on fractal geometry. He is a member of SPIE--The International Society for Optical Engineering, The Institute of Electrical and Electronics Engineers (IEEE), and the Society of Industrial and Applied Mathematics (SIAM).

Product Details

  • Paperback: 254 pages
  • Publisher: SPIE Publications (December 10, 1999)
  • Language: English
  • ISBN-10: 0819435031
  • ISBN-13: 978-0819435033
  • Product Dimensions: 10 x 7 x 0.6 inches
  • Shipping Weight: 1.3 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #2,746,758 in Books (See Top 100 in Books)

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7 of 8 people found the following review helpful:
5.0 out of 5 stars This is book is on target, May 11, 2000
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This review is from: Fractal and Wavelet Image Compression Techniques (SPIE Tutorial Texts in Optical Engineering Vol. TT40) (Paperback)
This book is on target for those who would like to learn the application of wavelet theory in image processing, which is an exciting field waiting for more people to explore. The applications of wavelet theory is numerous, but this is a hard-to-find book that concentrates on image processing, it worths a trial.
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1 of 1 people found the following review helpful:
5.0 out of 5 stars Excellent as a tutorial !, March 21, 2008
This review is from: Fractal and Wavelet Image Compression Techniques (SPIE Tutorial Texts in Optical Engineering Vol. TT40) (Paperback)
This book is very good to be a tutorial or an introduction to this field. The presentation is simple and you can follow it easily.
I had project on this topic exactly, and I learned much from it.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
collage theorem, simple wavelets, best cell, search for best domain, maximum quadtree depth, more range cells, feature tolerance value, average pixel error, decoded image quality, wavelet transform array, total encoding time, zerotree algorithm, attractor image, fractal encoding, quadtree level, highpass operation, fractal image encoding, apparent entropy, zerotree roots, quadtree partition, contractivity factor, encoding times, fractal image compression, symbol array, decimation algorithm
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Fractal Baseline, Fractal Encoding of Grayscale Images, Speeding Up Fractal Encoding, Wavelet Zerotrees, Compression Ratio Fig, Number of Domains Fig, Average Error, The Sierpinski, Two Dimensions, Chaos Game, Metric Spaces, Use Best Fitting Domain Fig, Feature Comp, Wavelet Image Compression Techniques
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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