Scene-based self adaptive iteration square correction algorithm for Infrared Focal Plane Arrays

This paper concerns a process to correct the intensity of images from a Infrared Focal Plane Arrays (IRFPA) with a two-dimensional detector. First a stationary square nonuniformity correction (NUC) is made at a reference source to determine correction coefficients. During operation, the correction coefficients are improved dynamically. The intensity of an image is recorded and the intensity of the image is filtered by a locally acting adaptive filter. Then the remaining imaging error is determined using intensity of the unfiltered image and intensity of the filtered image and the correction coefficients are improved using the ascertained remaining imaging error.