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14 May 1984 Development Of An Image Quality Model For Object Discrimination
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Proceedings Volume 0467, Image Assessment: Infrared and Visible; (1984) https://doi.org/10.1117/12.941579
Event: Image Assessment Infrared and Visible, 1983, Oxford, United Kingdom
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.
© (1984) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A H. Blumenthal and S B Campana "Development Of An Image Quality Model For Object Discrimination", Proc. SPIE 0467, Image Assessment: Infrared and Visible, (14 May 1984); https://doi.org/10.1117/12.941579
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