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Proceedings Paper

Object detection in a noisy scene
Author(s): Albert J. Ahumada; Bettina L. Beard
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Paper Abstract

Observers viewed a simulated airport runway landing scene with an obstructing aircraft on the runway and rated the visibility of the obstructing object in varying levels of white fixed-pattern noise. The effect of the noise was compared with the predictions of single and multiple channel discrimination models. Without a contrast masking correction, both models predict almost no effect of the fixed-pattern noise. A global contrast masking correction improves both models' predictions, but the predictions are best when the masking correction is based only on the noise contrast (does not include the background image contrast).

Paper Details

Date Published: 22 April 1996
PDF: 10 pages
Proc. SPIE 2657, Human Vision and Electronic Imaging, (22 April 1996); doi: 10.1117/12.238715
Show Author Affiliations
Albert J. Ahumada, NASA Ames Research Ctr. (United States)
Bettina L. Beard, Univ. of California/Berkeley (United States)


Published in SPIE Proceedings Vol. 2657:
Human Vision and Electronic Imaging
Bernice E. Rogowitz; Jan P. Allebach, Editor(s)

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