Paper
19 May 1999 Development of an image/threshold database for designing and testing human vision models
Thom Carney, Stanley A. Klein, Christopher W. Tyler, Amnon D. Silverstein, Brent Beutter, Dennis Levi, Andrew B. Watson, Adam J. Reeves, Anthony M. Norcia, Chien-Chung Chen, Walter Makous, Miguel P. Eckstein
Author Affiliations +
Proceedings Volume 3644, Human Vision and Electronic Imaging IV; (1999) https://doi.org/10.1117/12.348473
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Abstract
Models that predict human performance on narrow classes of visual stimuli abound in the vision science literature. However, the vision and the applied imaging communities need robust general-purpose, rather than narrow, computational human visual system models to evaluate image fidelity and quality and ultimately improve imaging algorithms. Psychophysical measure of image imaging algorithms. Psychophysical measures of image quality are too costly and time consuming to gather to evaluate the impact each algorithm modification might have on image quality.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thom Carney, Stanley A. Klein, Christopher W. Tyler, Amnon D. Silverstein, Brent Beutter, Dennis Levi, Andrew B. Watson, Adam J. Reeves, Anthony M. Norcia, Chien-Chung Chen, Walter Makous, and Miguel P. Eckstein "Development of an image/threshold database for designing and testing human vision models", Proc. SPIE 3644, Human Vision and Electronic Imaging IV, (19 May 1999); https://doi.org/10.1117/12.348473
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Cited by 39 scholarly publications.
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KEYWORDS
Visual process modeling

Data modeling

Spatial frequencies

Databases

Visualization

Image quality

Image compression

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