Translator Disclaimer
21 April 1995 Fast methods for fractal image encoding
Author Affiliations +
Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995)
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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);


Hybrid image encoding based on wavelet transform and DPCM
Proceedings of SPIE (September 25 1998)
Fast classification method for fractal image compression
Proceedings of SPIE (November 17 2000)
Fractal-based method for textured-image compression
Proceedings of SPIE (March 03 1995)
New method of calculation of reversible integer 1D DCTs
Proceedings of SPIE (March 01 2005)
Two-step matching approach for fractal image encoding
Proceedings of SPIE (December 21 1998)

Back to Top