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Fractal and wavelet image compression techniques / Stephen Welstead.

By: Material type: TextSeries: Spie tutorial texts in optical engineering vol. tt40Publication details: [S.l.] : SPIE Publications, 1999.Description: 254 p. ; 26 cmISBN:
  • 0819435031 (paperback)
  • 9780819435033 (paperback)
Online resources: Summary: 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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Book Air University Central Library Islamabad NFIC 621.367 WLE (Browse shelf(Opens below)) Available P7265

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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