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Proceedings Paper

Comparison of fractal methods with discrete cosine transform (DCT) and wavelets
Author(s): Yuval Fisher; Daniel N. Rogovin; Tsae-Pyng Janice Shen
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Paper Abstract

The paper contains a brief description of fractal image compression methods with sample compression results. We also present comparative results between two fractal schemes, discrete cosine transform and a wavelet method. We show that, with the PSNR as a measure of image quality, some fractal schemes perform best over the range of compressions of most interest.

Paper Details

Date Published: 30 June 1994
PDF: 12 pages
Proc. SPIE 2304, Neural and Stochastic Methods in Image and Signal Processing III, (30 June 1994); doi: 10.1117/12.179221
Show Author Affiliations
Yuval Fisher, Univ. of California/San Diego (United States)
Daniel N. Rogovin, Rockwell International Science Ctr. (United States)
Tsae-Pyng Janice Shen, Rockwell International Science Ctr. (United States)


Published in SPIE Proceedings Vol. 2304:
Neural and Stochastic Methods in Image and Signal Processing III
Su-Shing Chen, Editor(s)

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