Modeling the effects of high contrast and saturated images on target acquisition performance

Brian P. Teaney; Jonathan G. Hixson; Bill Blecha

doi:10.1117/12.720923

4 May 2007 Modeling the effects of high contrast and saturated images on target acquisition performance

Brian P. Teaney, Jonathan G. Hixson, Bill Blecha

Proceedings Volume 6543, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVIII; 65430X (2007) https://doi.org/10.1117/12.720923
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

Most infrared sensors allow for adjustment of the sensors gain and level settings. This adjustment of gain and level effects the contrast of the output image. This process is accounted for in the current US Army thermal target acquisition model (NVThermIP), using the scene contrast temperature. By changing the scene contrast temperature in NVThermIP, the system gain can be modified to reflect varying contrast levels presented at the display. In this paper, the results of perception experiments dealing with image contrast and saturation are reviewed. These results are compared with predicted performance based on the target task difficulty metric used in NVThermIP.

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Brian P. Teaney, Jonathan G. Hixson, and Bill Blecha "Modeling the effects of high contrast and saturated images on target acquisition performance", Proc. SPIE 6543, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVIII, 65430X (4 May 2007); https://doi.org/10.1117/12.720923

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KEYWORDS

Modulation transfer functions

Contrast transfer function

Eye

Image quality

Sensors

Targeting Task Performance metric

Imaging systems

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