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Proceedings Paper

Wavelet quad-tree compression of medical images using JPEG quantization and encoding strategies
Author(s): Paul W. Jones; Fleming Yuan Ming Lure
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Paper Abstract

Wavelet-based image compression is receiving significant attention because of its potential for good image quality at low bit rates. In this paper, we describe and analyze a lossy wavelet compression scheme that uses direct extensions of the JPEG quantization and Huffman encoding strategies to provide high compression efficiency with reasonable complexity. The focus is on the compression of 12-bit medical images obtained from computed radiography and mammography, but the general methods and conclusions presented in this paper are applicable to a wide range of image types.

Paper Details

Date Published: 15 April 1996
PDF: 12 pages
Proc. SPIE 2707, Medical Imaging 1996: Image Display, (15 April 1996); doi: 10.1117/12.238449
Show Author Affiliations
Paul W. Jones, Eastman Kodak Co. (United States)
Fleming Yuan Ming Lure, Eastman Kodak Co. (United States)


Published in SPIE Proceedings Vol. 2707:
Medical Imaging 1996: Image Display
Yongmin Kim, Editor(s)

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