Speeding Up Fractal Image Compression


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Fractal and Wavelet Image Compression Techniques


Fractal and Wavelet Image Compression Techniques

Author: Stephen T. Welstead

language: en

Publisher: SPIE Press

Release Date: 1999


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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.

Speeding Up Fractal Image Compression


Speeding Up Fractal Image Compression

Author: Nagham Shukur

language: en

Publisher:

Release Date: 2016-11-08


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Parallel Computation


Parallel Computation

Author: Peter Zinterhof

language: en

Publisher: Springer

Release Date: 2003-05-21


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This book constitutes the refereed proceedings of the 4th International Conference on Parallel Computation, ACPC'99, held in Salzburg, Austria in February 1999; the conference included special tracks on parallel numerics and on parallel computing in image processing, video processing, and multimedia. The volume presents 50 revised full papers selected from a total of 75 submissions. Also included are four invited papers and 15 posters. The papers are organized in topical sections on linear algebra, differential equations and interpolation, (Quasi-)Monte Carlo methods, numerical software, numerical applications, image segmentation and image understanding, motion estimation and block matching, video processing, wavelet techniques, satellite image processing, data structures, data partitioning, resource allocation and performance analysis, cluster computing, and simulation and applications.