Error Free Compression Of Medical X-Ray Images

Charles G. Boncelet Jr.; Joseph R. Cobbs; Allan R. Moser

doi:10.1117/12.968962

25 October 1988 Error Free Compression Of Medical X-Ray Images

Charles G. Boncelet Jr., Joseph R. Cobbs, Allan R. Moser

Proceedings Volume 1001, Visual Communications and Image Processing '88: Third in a Series; (1988) https://doi.org/10.1117/12.968962
Event: Visual Communications and Image Processing III, 1988, Cambridge, MA, United States

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.

Citation Download Citation

Charles G. Boncelet Jr., Joseph R. Cobbs, and Allan R. Moser "Error Free Compression Of Medical X-Ray Images", Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); https://doi.org/10.1117/12.968962

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