Paper
3 May 2016 Comparing and contrasting 2D versus 1D performance modeling in NV-IPM v1.6
Jonathan G. Hixson, Brian P. Teaney
Author Affiliations +
Abstract
Version 1.6 of the Night Vision Integrated Performance Model (NV-IPM) introduced two-dimensional Modulation Transfer Function (MTF) and noise signals within the model architecture. These two-dimensional signals enable the model to more accurately treat systems with non-separable MTF components. These non-separable MTF components may be introduced by optical elements, electronic post-processing, or atmospheric effects. In this paper we discuss the differences between the new two-dimensional signal architecture and the one-dimensional separable representation used in earlier versions of the model and highlight some cases which demonstrate the utility of the two-dimensional signals.
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Jonathan G. Hixson and Brian P. Teaney "Comparing and contrasting 2D versus 1D performance modeling in NV-IPM v1.6", Proc. SPIE 9820, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVII, 98200A (3 May 2016); https://doi.org/10.1117/12.2225606
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KEYWORDS
Modulation transfer functions

Performance modeling

Performance modeling

Contrast transfer function

Optical filters

Targeting Task Performance metric

Image filtering

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