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Proceedings Paper

Development Of An Image Quality Model For Object Discrimination
Author(s): A H. Blumenthal; S B Campana
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Paper Abstract

The operational performance of electrooptical imaging systems is currently predicted using models based on an approach introduced by Johnson in 1958. This model has been shown to be inadequate when used to predict performance over a wide range of conditions of signal-to-noise ratio and range to the target. This paper describes our effort to develop and validate a model which is more effective than the Johnson model in predicting image quality. The figure of merit is based on the hypothesis that image quality is related to the area of an aperiodic object which is barely detectable under the conditions of the test. This "minimum detectable target" approach is attractive in that not only is it an improved predictor of image quality, but also it can accommodate both noise limited and display contrast limited conditions and it can be based on a laboratory measurement of minimum detectable target size in the same manner that limiting resolution measurements are currently used with the Johnson criteria.

Paper Details

Date Published: 14 May 1984
PDF: 9 pages
Proc. SPIE 0467, Image Assessment: Infrared and Visible, (14 May 1984); doi: 10.1117/12.941579
Show Author Affiliations
A H. Blumenthal, Consultant (United States)
S B Campana, Consultant (United States)

Published in SPIE Proceedings Vol. 0467:
Image Assessment: Infrared and Visible
Thomas L. Williams, Editor(s)

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