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Imaging systems that are benefiting from infrared focal plane arrays (IRFPA) inevitably suffer from some visually unpleasant artifacts due to limits of detector materials and manufacturing processes. To address these artifacts and benefit the most from IRFPAs, factory level calibrations become obligatory. Considering nonlinear characteristics of infrared focal plane arrays, fixed pattern noise elimination, a.k.a. non-uniformity correction (NUC), and bad pixel replacement are considered as the most crucial calibration processes for capturing details of the scene. In this paper, we present two different NUC methods from two different families (temperature and integration time based NUC), together with a bad pixel detection strategy in order to achieve wide dynamic range and maximized contrast span.

A Study on Calibration Methods for Infrared Focal Plane Array Cameras