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Proceedings Paper

Wavelet-fractal based compression of ophthalmic image
Author(s): Xiu-ying Zhao; Lin-pei Zhai
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Paper Abstract

This study is designed to determine the degree and methods of digital image compression to produce ophthalmic images of sufficient quality for transmission and diagnosis. Fractal based compression techniques, which provide a large compression ratio for grayscale images have been reported in the literature. Fractal coding is based on the fractal theory of iterated transformations. But, it's searching and mapping algorithm cannot address the need of real-time. To improve the real-time performance of the algorithm, we use wavelet transforms to decompose images. The wavelet transform is a natural tool for analyzing fractal block coders since wavelet bases possess the same type of dyadic self-similarity that fractal coders seek to exploit. We propose a method of fractal coding the weighted wavelet subtree. Experimented results show that the improved hybrid image can improve the PSNR of the rebuild image at the same compression ratio.

Paper Details

Date Published: 20 January 2006
PDF: 8 pages
Proc. SPIE 6027, ICO20: Optical Information Processing, 60271C (20 January 2006); doi: 10.1117/12.667948
Show Author Affiliations
Xiu-ying Zhao, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Aviation Univ. of Air Force (China)
Lin-pei Zhai, Changchun Institute of Optics, Fine Mechanics and Physics (China)


Published in SPIE Proceedings Vol. 6027:
ICO20: Optical Information Processing
Yunlong Sheng; Songlin Zhuang; Yimo Zhang, Editor(s)

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