摘要
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.
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.
基金
was supported by the Nanjing University of Science and Technology Research Funding (Nos.2010ZDJH12 and 2010GJPY014)
