Fast methods for fractal image encoding

Gregory Caso; Pere Obrador; C.-C. Jay Kuo

doi:10.1117/12.206767

21 April 1995 Fast methods for fractal image encoding

Gregory Caso, Pere Obrador, C.-C. Jay Kuo

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206767
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

Abstract

Fractal image compression is a relatively new and very promising technique for still image compression. However, it is not widely applied due to its very time consuming encoding procedure. In this research, we focus on speeding up this procedure by introducing three schemes: dimensionality reduction, energy-based classification, and tree search. We have developed an algorithm that combines these three schemes together and achieves a speed-up factor of 175 at the expense of only 0.6 dB degradation in PSNR relative to the unmodified exhaustive search for a typical image encoded with 0.44 bpp.

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Gregory Caso, Pere Obrador, and C.-C. Jay Kuo "Fast methods for fractal image encoding", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206767

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