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Proceedings Paper

Fast fractal compression by classification based on block variance and wavelet transform
Author(s): Huaqiu Deng; Nan Xie; Wenhua Weng; Ying Lin Yu
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Paper Abstract

Traditional fractal coding searches the best mapping domain block in a searching pool, applying 8 symmetry operation to each domain block to satisfy the tolerance condition, thus increasing coding complexity greatly. We here present a new fast fractal image compression method based on block variance and wavelet transform which increase the coding speed up to 25 times and the reconstructed image has no obvious degradation in visual quality.

Paper Details

Date Published: 8 July 1998
PDF: 5 pages
Proc. SPIE 3389, Hybrid Image and Signal Processing VI, (8 July 1998); doi: 10.1117/12.316551
Show Author Affiliations
Huaqiu Deng, South China Univ. of Technology (China)
Nan Xie, South China Univ. of Technology (China)
Wenhua Weng, South China Univ. of Technology (China)
Ying Lin Yu, South China Univ. of Technology (China)


Published in SPIE Proceedings Vol. 3389:
Hybrid Image and Signal Processing VI
David P. Casasent; Andrew G. Tescher, Editor(s)

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