Real-Time Kalman Filtering for Nonuniformity Correction in Infrared Focal-Plane Arrays ∗

A new algorithm for nonuniformity correction in infrared focal-plane arrays has been developed. The method is based on Kalman Filter theory. The algorithm operates, per pixel and per frame, assuming that the nonuniformity parameters follow a Gauss-Markov model. The uncertainty on the input irradiance parameter of the observation model is solved using the spatial infrared information collected from the scene. The performance of the algorithm was tested using sequences of infrared data corrupted with both simulated and real nonuniformity.