Optimized DCT quantization matrices for scanned 12-bit radiographs

Michael P. Eckert; David Neil Jones

doi:10.1117/12.238493

15 April 1996 Optimized DCT quantization matrices for scanned 12-bit radiographs

Michael P. Eckert; David Neil Jones

Author Affiliations +

Proceedings Volume 2707, Medical Imaging 1996: Image Display; (1996) https://doi.org/10.1117/12.238493
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

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).

Citation Download Citation

Michael P. Eckert, Michael P. Eckert, David Neil Jones, David Neil Jones, } "Optimized DCT quantization matrices for scanned 12-bit radiographs", Proc. SPIE 2707, Medical Imaging 1996: Image Display, (15 April 1996); doi: 10.1117/12.238493; https://doi.org/10.1117/12.238493

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