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Proceedings Paper

Wavelet-based fractal image compression
Author(s): Yang Zhang; Guangtao Zhai
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Paper Abstract

In this paper, a wavelet-based fractal image coding algorithm is proposed. The conventional fractal image coding in spatial domain is extended to wavelet domain by taking advantage of the self-similarities among different wavelet subtrees through proper affine transformation. This method is based on the combination of the theory of multi-resolution analysis with iterated function systems by introducing some effective block-classification schemes. The original image is first transformed into wavelet domain in which fractal compression and arithmetic coding are performed. By classifying D blocks and R blocks set in this domain, the approach can significantly reduce the computation complexity and encoding time. Meanwhile, the hybrid image compression algorithm obtains much better coding performance in terms of PSNR with error modification. This is the main advantage of this method. A set of experiments and simulations show the potentials of using these classification techniques in wavelet domain for futher improvements.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538880
Show Author Affiliations
Yang Zhang, Shandong Univ. (China)
Guangtao Zhai, Shandong Univ. (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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