Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/99416
Title: Speed-up fractal image compression with a fuzzy classifier
Authors: Loe, K.F. 
Gu, W.G.
Phua, K.H. 
Keywords: Data compression
Fractal image
Fuzzy set
Genetic algorithm
Issue Date: Sep-1997
Citation: Loe, K.F.,Gu, W.G.,Phua, K.H. (1997-09). Speed-up fractal image compression with a fuzzy classifier. Signal Processing: Image Communication 10 (4) : 303-311. ScholarBank@NUS Repository.
Abstract: 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. © 1997 Elsevier Science B.V.
Source Title: Signal Processing: Image Communication
URI: http://scholarbank.nus.edu.sg/handle/10635/99416
ISSN: 09235965
Appears in Collections:Staff Publications

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