Speed-up fractal image compression with a fuzzy classifier

This paper presents a fractal image compression scheme incorporated with a fuzzy classifier that is optimized by a genetic algorithm. The fractal image compression scheme requires to find matching range blocks to domain blocks from all the possible division of an image into subblocks. With suitable...

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Bibliographic Details
Published inSignal processing. Image communication Vol. 10; no. 4; pp. 303 - 311
Main Authors Loe, K.F., Gu, W.G., Phua, K.H.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.09.1997
Subjects
Data compression
Fractal image
Fuzzy set
Genetic algorithm
Fractal image
Fuzzy set
Genetic algorithm
Data compression
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Summary:This paper presents a fractal image compression scheme incorporated with a fuzzy classifier that is optimized by a genetic algorithm. The fractal image compression scheme requires to find matching range blocks to domain blocks from all the possible division of an image into subblocks. With suitable classification of the subblocks by a fuzzy classifier we can reduce the search time for this matching process so as to speedup the encoding process in the scheme. Implementation results show that by introducing three image classes and using fuzzy classifier optimized by a genetic algorithm the encoding process can be speedup by about 40% of an unclassified encoding system.
ISSN:0923-5965
1879-2677
DOI:10.1016/S0923-5965(96)00031-8