Paper
24 May 1999 Effect of image compression in model and human performance
Author Affiliations +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Miguel P. Eckstein, Craig K. Abbey, Francois O. Bochud, Jay L. Bartroff, and James Stuart Whiting "Effect of image compression in model and human performance", Proc. SPIE 3663, Medical Imaging 1999: Image Perception and Performance, (24 May 1999); https://doi.org/10.1117/12.349649
Lens.org Logo
CITATIONS
Cited by 32 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Performance modeling

Image compression

Eye models

Image filtering

Image quality

Mathematical modeling

Angiography

Back to Top