Comparison of fractal methods with discrete cosine transform (DCT) and wavelets

Yuval Fisher; Daniel N. Rogovin; Tsae-Pyng Janice Shen

doi:10.1117/12.179221

30 June 1994 Comparison of fractal methods with discrete cosine transform (DCT) and wavelets

Yuval Fisher, Daniel N. Rogovin, Tsae-Pyng Janice Shen

Proceedings Volume 2304, Neural and Stochastic Methods in Image and Signal Processing III; (1994) https://doi.org/10.1117/12.179221
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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.

Citation Download Citation

Yuval Fisher, Daniel N. Rogovin, and Tsae-Pyng Janice Shen "Comparison of fractal methods with discrete cosine transform (DCT) and wavelets", Proc. SPIE 2304, Neural and Stochastic Methods in Image and Signal Processing III, (30 June 1994); https://doi.org/10.1117/12.179221

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