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Proceedings Paper

Automatic quality assessment of JPEG and JPEG 2000 compressed images
Author(s): Walter F. Good; Glenn S. Maitz; Xiao Hui Wang
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Paper Abstract

A novel figure-of-merit (FOM) for automatically quantifying the types of artifacts that appear in compressed images was investigated. This FOM is based on task specific linear combinations of magnitude, frequency and 'localized' structure information derived from difference images. For each elemental diagnostic task (e.g., detection of microcalcifications) a value is calculated as the weighted linear combination of the output of an array of filters, and the FOM is defined to be the maximum of these values, taken over all relevant diagnostic tasks. This FOM was tested by applying it to a previously assembled set of 60 mammograms that had been digitized and compressed at five different compression levels using our version of the original JPEG algorithm. The FOM results were compared to subjective assessments of image quality provided by nine radiologists. A subset consisting of 25 images was also processed with the JPEG 2000 algorithm and evaluated by the FOM. A significant correlation existed between readers' subjective ratings and FOMs for JPEG compressed images. A comparison between the results of the two compression algorithms reveals that, to achieve a comparable FOM level, the JPEG 2000 images were compressed at a bitrate that was typically 15% lower than that of images compressed with the original JPEG algorithm.

Paper Details

Date Published: 9 May 2002
PDF: 7 pages
Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); doi: 10.1117/12.467050
Show Author Affiliations
Walter F. Good, Univ. of Pittsburgh (United States)
Glenn S. Maitz, Univ. of Pittsburgh (United States)
Xiao Hui Wang, Univ. of Pittsburgh (United States)

Published in SPIE Proceedings Vol. 4684:
Medical Imaging 2002: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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