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Proceedings Paper

Error Free Compression Of Medical X-Ray Images
Author(s): Charles G. Boncelet; Joseph R. Cobbs; Allan R. Moser
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Paper Abstract

We present the results of a study of error free compression of digitized medical x-ray images. This study used high resolution (2048 x 1684), high quality (8 to 11 bits per pixel) images, each approximately 5 Mbytes before compression. Since the medical community is very reluctant to introduce unnecessary noise into their imaging, we require error-free compression or, equivalently, perfect reconstruction. In particular, we investigated the following error free methods: Huffman coding, arithmetic coding, Lempel-Ziv coding, runlength coding, ordinary quadtree coding, and a new quadtree method, multi-window quadtree.

Paper Details

Date Published: 25 October 1988
PDF: 8 pages
Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); doi: 10.1117/12.968962
Show Author Affiliations
Charles G. Boncelet, University of Delaware (United States)
Joseph R. Cobbs, University of Delaware (United States)
Allan R. Moser, E.I. du Pont de Nemours & Company (Inc.) (United States)

Published in SPIE Proceedings Vol. 1001:
Visual Communications and Image Processing '88: Third in a Series
T. Russell Hsing, Editor(s)

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