Algorithms for Fractal Image Compression on Massively Parallel SIMD Arrays

In this work we introduce and analyse algorithms for fractal image compression on massively parallel SIMD arrays. The different algorithms discussed differ significantly in terms of their communication and computation structure. Therefore, the most suited algorithm for a given architecture may be se...

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Vydáno v:Real-time imaging Ročník 6; číslo 4; s. 267 - 281
Hlavní autoři: Hufnagl, Christian, Uhl, Andreas
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Elsevier Ltd 01.08.2000
Elsevier
Témata:
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Exact sciences and technology
Image processing
Information, signal and communications theory
Pattern recognition. Digital image processing. Computational geometry
Signal processing
Telecommunications and information theory
Fractal
Array processor
Image processing
Coding
Data compression
SIMD computer
Parallel processing
Load balancing
Algorithm
ISSN:1077-2014, 1096-116X
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Shrnutí:In this work we introduce and analyse algorithms for fractal image compression on massively parallel SIMD arrays. The different algorithms discussed differ significantly in terms of their communication and computation structure. Therefore, the most suited algorithm for a given architecture may be selected according to our investigations. Experimental results compare the performance of the algorithms on the 2-D mesh array of the MasPar MP-2.
ISSN:1077-2014
1096-116X
DOI:10.1006/rtim.1998.0164