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.

讨论了反射光纤端面反射率对(F-P)传感器输出信号质量的影响,指出反射光纤端面反射率的提高可以克服光在F-P腔内损耗的影响,且对应传感器腔长有和其匹配的最优反射率.为了使传感器在其工作腔长范围内的输出信号整体上具有尽可能好的信号质量,采用最小均方误差法确定了反射光纤端面的最优反射率.仿真证明了采用最优反射率时的信号质量优于采用非最优反射率时的信号质量.