12 May 2005 Scene-based non-uniformity correction for focal plane arrays using a facet model
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Abstract
This paper discusses scene-based estimation of non-uniformity correction (NUC) coefficients for focal-plane array sensors using spatial image neighborhood information (facet model). Several scene-based methods for estimation of non-uniformity correction (NUC) parameters were proposed in the literature, but artifacts can remain in specific situations. The objective of the work is to estimate non-uniformity correction coefficients using random scene images without making assumptions about motion or constant statistics. We show analytically and experimentally, how to reduce fixed pattern noise using a facet model. The method works best if out-of-focus images are available for calibration. We estimate NUC coefficients experimentally from a set of twelve scene images. The facet model approach can be an alternative for applications where artifacts otherwise would remain.
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Matthias Voigt, Martin Zarzycki, Dennis H. LeMieux, Visvanathan Ramesh, "Scene-based non-uniformity correction for focal plane arrays using a facet model", Proc. SPIE 5784, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI, (12 May 2005); doi: 10.1117/12.605766; https://doi.org/10.1117/12.605766
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