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Proceedings Paper

Efficient storage and management of radiographic images using a novel wavelet based multiscale vector quantizer
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Paper Abstract

Due to the huge volumes of radiographic images to be managed in hospitals, efficient compression techniques yielding no perceptual loss in the reconstructed images are becoming a requirement in the storage and management of such datasets. A wavelet-based multi-scale vector quantization scheme that generates a global codebook for efficient storage and transmission of medical images is presented in this paper. The results obtained show that even at low bit rates one is able to obtain reconstructed images with perceptual quality higher than that of the state-of-the-art scalar quantization method, the set partitioning in hierarchical trees.

Paper Details

Date Published: 16 May 2002
PDF: 12 pages
Proc. SPIE 4685, Medical Imaging 2002: PACS and Integrated Medical Information Systems: Design and Evaluation, (16 May 2002); doi: 10.1117/12.466994
Show Author Affiliations
Shuyu Yang, Texas Tech Univ. (United States)
Sunanda Mitra, Texas Tech Univ. (United States)


Published in SPIE Proceedings Vol. 4685:
Medical Imaging 2002: PACS and Integrated Medical Information Systems: Design and Evaluation
Eliot L. Siegel; H. K. Huang, Editor(s)

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