基于递推最小二乘的红外焦平面非均匀校正算法

Iterative Least Square-Based Algorithm for Nonuniformity Correction of Infrared Focal Plane Arrays

根据递推最小二乘和图像配准原理,提出了基于递推最小二乘的红外焦平面非均匀校正算法(简称ILS算法),有效降低算法的时间和空间复杂度,使噪音图像的校正处理能够实时完成.ILS算法具有噪音参量估计准确度高、收敛速度快和计算复杂度低等优点.给出了算法的推导并用仿真数据对算法的有效性进行验证.

Based on the iterative least square and image registration technology, the iterative least square based algorithm （ILS） for nonuniformity correction of infrared focal plane arrays was presented, which greatly reduced the time and space complexity and made real-time realization of the image process possible. The ILS algorithm had the strength of accurate estimation of FPN, fast convergence rate and low computational complexity. The deduction of the algorithm has been presented and the effectiveness has been demonstrated by the simulation results.