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.
Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:sun/oai:scholar.sun.ac.za:10019.1/2513 |
Date | 12 1900 |
Creators | Muller, Rikus |
Contributors | Herbst, B. M., Hunter, K. M., University of Stellenbosch. Faculty of Science. Dept. of Mathematical Sciences. |
Publisher | Stellenbosch : University of Stellenbosch |
Source Sets | South African National ETD Portal |
Language | English |
Detected Language | English |
Type | Thesis |
Rights | University of Stellenbosch |
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