Proceedings Paper
Design of a spatial-chromatic human vision model for evaluating full-color display systems| Format | Member Price | Non-Member Price |
|---|---|---|
| $17.00 | $21.00 |
Paper Abstract
Two general characteristics of full-color display systems which are known to impact image quality include the ability of the
display system to transfer modulation (chromatic as well as achromatic) and the degree to which the display system adds noise
(chromatic and achromatic) to the signal. This paper describes a model of human spatial-chromatic vision and a corresponding
procedure for using the model to evaluate color display systems. Together the proposed model and procedure constitute a
color image quality metric which is responsive to the modulation transfer and noise generating characteristics of a display
system.
The proposed human vision model employs processing stages which simulate blurring by the optics of the eye, linear spectral
absorption by three classes of cone, addition of internal noise, nonlinear transduction by retinal mechanisms, derivation of
opponent-color images, and calculation of the responses of linear spatial mechanisms with finite spatial frequency and
orientation bandwidth. A summary of the modulation detection, discrimination, and suprathreshold contrast perception
performance of the model is presented and compared with human performance data from the visual science literature. A
procedure for evaluating display systems using the model is described and the results of several analyses of display systems are
presented.
High correlations between predictions made by the model and the results of image quality studies from the display design
literature have been obtained with no free parameters in the model. The results of the validation studies conducted so far
suggest that the proposed method for evaluating color display systems is viable and warrants critical examination.
Paper Details
Date Published: 1 October 1990
PDF: 15 pages
Proc. SPIE 1249, Human Vision and Electronic Imaging: Models, Methods, and Applications, (1 October 1990); doi: 10.1117/12.19658
Published in SPIE Proceedings Vol. 1249:
Human Vision and Electronic Imaging: Models, Methods, and Applications
Bernice E. Rogowitz; Jan P. Allebach, Editor(s)
PDF: 15 pages
Proc. SPIE 1249, Human Vision and Electronic Imaging: Models, Methods, and Applications, (1 October 1990); doi: 10.1117/12.19658
Show Author Affiliations
Charles J. Lloyd, Virginia Polytechnic Institute and State Univ. (United States)
Robert J. Beaton, Virginia Polytechnic Institute and State Univ. (United States)
Published in SPIE Proceedings Vol. 1249:
Human Vision and Electronic Imaging: Models, Methods, and Applications
Bernice E. Rogowitz; Jan P. Allebach, Editor(s)
© SPIE. Terms of Use
