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Proceedings Paper

Fractal-based hybrid compression schemes
Author(s): Viresh Ratnakar; Ephraim Feig; Prasoon Tiwari
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Paper Abstract

Fractal compression has not lived up to its promise as a high-quality low bit-rate image compression scheme. The existing algorithms for finding self-mapping contractive transforms for images are computationally expensive and offer a poor rate-quality tradeoff. In this paper we explore the error images resulting from a simple fractal compression scheme. We use a set of fractal maps as a predictor for the image, and store the error-image using the Discrete Cosine Transform (DCT). Our experiments show that such a composite scheme has worse rate-quality tradeoff than DCT alone.

Paper Details

Date Published: 16 September 1994
PDF: 7 pages
Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); doi: 10.1117/12.185987
Show Author Affiliations
Viresh Ratnakar, Univ. of Wisconsin/Madison (United States)
Ephraim Feig, IBM Thomas J. Watson Research Ctr. (United States)
Prasoon Tiwari, IBM Thomas J. Watson Research Ctr. (United States)


Published in SPIE Proceedings Vol. 2308:
Visual Communications and Image Processing '94
Aggelos K. Katsaggelos, Editor(s)

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