针对红外焦平面阵列(IRFPA)非均匀性校正算法中基于场景类自适应校正算法存在的目标退化和伪像等问题，提出一种新的基于运动检测指导的自适应校正算法。该算法首先通过预处理为实时校正准备背景帧图像和坏元模板，接着根据前后两帧场景信息的运动方差，自适应地调整迭代步长，最后结合运动幅度更新增益校正系数，对图像实施校正。以含有弱小目标的实际红外图像序列进行仿真的结果表明，新算法有效地抑制了目标退化，消除了伪像；去除了固定图案噪声，具有自适应性。

Aiming at solving the target fade-out and ghosting problems widely existed in the scene-based correction algorithms of infrared focal plane array (IRFPA)， a new adaptive correction algorithm based on motion guidance is proposed. Firstly， a background image and bad-cell template is prepared for the real-time correction. Next， a variable iterative step instead of a constant step in the steepest descent method is employed and adaptively adjusted according to the temporal variance. Finally， the gain correction coefficients are updated under the direction of variable iterative step and motion information， and then the image is corrected by the updated coefficients. The experimental results using real IRFPA infrared images show that the developed algorithm can not only effectively solve ghosting problems and inhibit the target fade out， but also eliminate the fixed-pattern noise well.