Share Email Print
cover

Proceedings Paper

Fractal-based hybrid compression schemes
Author(s): Viresh Ratnakar; Ephraim Feig; Prasoon Tiwari
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top