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A study of image compression techniques, with specific focus on weighted finite automata

Thesis (MSc (Mathematical Sciences)--University of Stellenbosch, 2005. / Image compression using weighted finite automata (WFA) is studied and implemented
in Matlab. Other more prominent image compression techniques, namely JPEG, vector
quantization, EZW wavelet image compression and fractal image compression are also
presented. The performance of WFA image compression is then compared to those of
some of the abovementioned techniques.

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:sun/oai:scholar.sun.ac.za:10019.1/2513
Date12 1900
CreatorsMuller, Rikus
ContributorsHerbst, B. M., Hunter, K. M., University of Stellenbosch. Faculty of Science. Dept. of Mathematical Sciences.
PublisherStellenbosch : University of Stellenbosch
Source SetsSouth African National ETD Portal
LanguageEnglish
Detected LanguageEnglish
TypeThesis
RightsUniversity of Stellenbosch

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