针对传统红外图像非均匀性代数校正算法收敛速度慢、运动估计精度不高的缺点，提出一种多尺度光流帧间运动估计的非均匀代数校正算法。通过时域低通滤波，采用多尺度光流估计下一帧图像，将所得图像对进行代数校正。该方法性能在自主研发的热像仪中得到验证，和传统的红外图像非均匀性代数校正算法相比，算法收敛速度从60帧提高到25帧，提高一倍左右，运动估计精度从校正后图像方差76.539减少到32.482。

Since traditional non-uniformity correction algorithm has slow convergence and inaccurate prediction, a multi-scale optical flow motion estimation based algorithm is developed. Random image noise between frames is filtered by time-domain low-pass filter, and the next frame is estimated by using the multi-scale optical flow, then the non-uniformity correction is carried out. This algorithm is demonstrated in the thermal imager developed by us. Compared with the traditional non-uniformity correction algorithm, the convergence rate of this algorithm decreases form 60 frames to 25 frames; the precision of prediction is improved by 100%, and the corrected image variance is decreased from 76.539 to 32.482.