Fractal-based hybrid compression schemes

Viresh Ratnakar; Ephraim Feig; Prasoon Tiwari

doi:10.1117/12.185987

16 September 1994 Fractal-based hybrid compression schemes

Viresh Ratnakar, Ephraim Feig, Prasoon Tiwari

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185987
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

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.

Citation Download Citation

Viresh Ratnakar, Ephraim Feig, and Prasoon Tiwari "Fractal-based hybrid compression schemes", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185987

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