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Proceedings Paper

Effect of image compression in model and human performance
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Paper Abstract

We applied three different model observers (non-prewhitening matched filter with an eye filter, Hotelling and channelized Hotelling) to predict the effect of JPEG image compression on human visual detection of a simulated lesion (clinically known as thrombus) in single frame digital x-ray coronary angiograms. Since the model observers' absolute performance is better than human, model performance was degraded to match human performance by injecting internal noise proportional to the external noise. All three model-observers predicted reasonably well the degradation in human performance as a function of JPEG image compression, although the NPWEW and the channelized Hotelling models (with internal noise proportional to the external noise) were better predictors than the Hotelling model.

Paper Details

Date Published: 24 May 1999
PDF: 10 pages
Proc. SPIE 3663, Medical Imaging 1999: Image Perception and Performance, (24 May 1999); doi: 10.1117/12.349649
Show Author Affiliations
Miguel P. Eckstein, Cedars-Sinai Medical Ctr. (United States)
Craig K. Abbey, Cedars-Sinai Medical Ctr. (United States)
Francois O. Bochud, Cedars-Sinai Medical Ctr. (United States)
Jay L. Bartroff, Cedars-Sinai Medical Ctr. (United States)
James Stuart Whiting, Cedars-Sinai Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 3663:
Medical Imaging 1999: Image Perception and Performance
Elizabeth A. Krupinski, Editor(s)

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