Codebook reduction in fractal image compression

John Kominek

doi:10.1117/12.234768

13 March 1996 Codebook reduction in fractal image compression

John Kominek

Proceedings Volume 2669, Still-Image Compression II; (1996) https://doi.org/10.1117/12.234768
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

Though fractal compression is often characterized as a variant of vector quantization, the important step of codebook training has not migrated over. Unlike traditional VQ, the vector codebook is formed not prior to compression, but during. This often results in a number of similar, yet distinct, domain blocks. The result can be an unnecessarily large file. Coding efficiency is improved by pruning the codebook of redundant entries, with little or no resultant loss in image quality.

Citation Download Citation

John Kominek "Codebook reduction in fractal image compression", Proc. SPIE 2669, Still-Image Compression II, (13 March 1996); https://doi.org/10.1117/12.234768

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