Scene-based non-uniformity correction for focal plane arrays using a facet model

Matthias Voigt; Martin Zarzycki; Dennis H. LeMieux; Visvanathan Ramesh

doi:10.1117/12.605766

12 May 2005 Scene-based non-uniformity correction for focal plane arrays using a facet model

Matthias Voigt, Martin Zarzycki, Dennis H. LeMieux, Visvanathan Ramesh

Proceedings Volume 5784, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI; (2005) https://doi.org/10.1117/12.605766
Event: Defense and Security, 2005, Orlando, Florida, United States

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.

Citation Download Citation

Matthias Voigt, Martin Zarzycki, Dennis H. LeMieux, and 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); https://doi.org/10.1117/12.605766

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