A new scene-based non-uniformity correction algorithm for infrared focal plane array

Non-uniformity exists in all IRFPA detectors. A new scene-based algorithm is developed to compensate for bias non-uniformity in focal-plane arrays. The technique is based on use of estimates of interframe sub-pixel shifts in an image sequence, in conjunction with a linear interpolation model for the motion, to exact information on the bias non-uniformity algebraically. Through a serial of experiment on real IRFPA images, we find the algorithm is effective and is more promising in comparison with the statistical approaches.