Summarize on the scene-based noniniformity correction algorithms for IRFPA

The Infrared Focal Plane Array (IRFPA) is a key part of modern infrared system and thermal imaging system. Imaging with IRFPA is future development direction of infrared and thermal imaging system. However the most difficult problem associated with the IRFPA is intrinsic spatial photo-response non-uniformity. Although two- point or multi-point correction algorithms may correct the non-uniformity of IRFPAs, they can be limited by pixel nonlinearities and instabilities. So adaptive non-uniformity correction techniques are needed. Many researchers develop the methods of real-time correction based the scene being viewed. In this paper, we introduced eight scene-based real-time correction methods, such as: the approach of the whole frame correction, Kalman filtering correction, adaptive filtering correction, trace along trajectory correction, based on the scene moving analysis correction, the wavelet transform is used for design the low-pass filter correction, both of the high-pass filter and the artificial neural network correction, based on the application of wavelet filter, video sequences and registration, orthogonal least squares correction, etc. All these non-uniformity correction algorithms are deeply explored, and non-uniformity correction simulation experiments are carried. Finally we compare these algorithms with two-point correction algorithm.