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Proceedings Paper

Optimized DCT quantization matrices for scanned 12-bit radiographs
Author(s): Michael P. Eckert; David Neil Jones
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Paper Abstract

In this paper, we compute quantization matrices which are tuned to individual images for JPEG compression of 12 bit radiographs. The quantization matrices were derived using a perceptual model, and tested in a set of psychophysical experiments to find the just-noticeable- difference (jnd) quality level between the original and lossy compressed images. Each of the images used in the study was compressed to 17 different quality levels, where 'quality level' is a perceptually meaningful metric. The results show that the technique can be used to provide selectable quality image compression of radiographs. We provide a list of recommended quantization matrices at various quality levels for images of this class (peripheral bone radiographs).

Paper Details

Date Published: 15 April 1996
PDF: 11 pages
Proc. SPIE 2707, Medical Imaging 1996: Image Display, (15 April 1996); doi: 10.1117/12.238493
Show Author Affiliations
Michael P. Eckert, Univ. of Technology/Sydney (Australia)
David Neil Jones, Westmead Hospital (Australia)

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

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