Paper
10 January 1997 Approaching real-time processing for fractal compression
Jutta Haemmerle, Andreas Uhl
Author Affiliations +
Proceedings Volume 3024, Visual Communications and Image Processing '97; (1997) https://doi.org/10.1117/12.263263
Event: Electronic Imaging '97, 1997, San Jose, CA, United States
Abstract
Fractal image compression is computationally extensive. Therefore speedup techniques are required to achieve time demands comparable to other compression techniques. In this paper we combine sequential and parallel techniques suitable for MIMD architectures which moves this compression scheme closer to real-time processing. The algorithms introduced are especially designed for memory-critical environments.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jutta Haemmerle and Andreas Uhl "Approaching real-time processing for fractal compression", Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); https://doi.org/10.1117/12.263263
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image compression

Fractal analysis

Image processing

Computer programming

Feature extraction

Iron

Image quality

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