DocumentCode :
2722106
Title :
Multiresolution approximation of fractal transforms and its applications
Author :
Cheng, Bing ; Zhu, Xiaokun ; Titterington, D.M.
Author_Institution :
Inst. of Math. & Stat., Kent Univ., Canterbury, UK
fYear :
1995
fDate :
34717
Firstpage :
42522
Lastpage :
42524
Abstract :
To generate a fractal by using an iterated function system (IFS) (Barnsley, 1988) is a very efficient and economic way. This led Barnsley to suggest the use of IFSs for data compression. However, the attractor of an IFS is self-affine but real data are not always self-affine. The real break-through for this problem was made in 1988 by Barnsley (Barnsley and Hurd, 1993) who generalized IFS to local IFS which resulted in so-called fractal transform (FT) for the iteration of functions. The coding of real data by fractal transform has generally achieved high-compression ratio with high-fidelity to the data
Keywords :
data compression; encoding; fractals; transforms; data compression; fractal transforms; iterated function system; multiresolution approximation;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Fractals in Signal and Image Processing, IEE Colloquium on
Conference_Location :
London
Type :
conf
DOI :
10.1049/ic:19950021
Filename :
478249
Link To Document :
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