Abstract
Stripe nonuniformity is very typical in line infrared focal plane (IRFPA) and
uncooled starring IRFPA. We develop the minimum mean square error (MMSE) method for
stripe nonuniformity correction (NUC). The goal of the MMSE method is to determine
the optimal NUC parameters for making the corrected image the closest to the ideal
image. Moreover, this method can be achieved in one frame, making it more
competitive than other scene-based NUC algorithms. We also demonstrate the
calibration results of our algorithm using real and virtual infrared image
sequences. The experiments verify the positive effect of our algorithm.
© 2011 Chinese Optics Letters
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