含运动目标的红外图像非均匀校正算法

通过分析运动目标对基于图像配准的非均匀校正算法校正效果的影响，基于相邻帧之间运动目标辐射强度不变的假设，提出含运动目标的红外图像非均匀校正算法。通过临近帧补全运动目标遮挡的场景，消除运动目标的影响，进行非均匀校正得到场景校正帧，再利用运动目标的辐射信息对各帧运动目标进行非均匀校正，最终得到全图校正帧。仿真和实测红外图像校正实验表明：算法能够很好地解决含运动目标的红外序列图像的非均匀校正问题。

Nonuniformity correction algorithm for infrared image with moving objects

By analyzing influence of moving objects on nonuniformity correction algorithm based on image registration,a nonuniformity correction algorithm for infrared image with moving objects is proposed based on assume that radiance of moving objects,which are in adjoining two frames,is stable. Influence of moving objects can be eliminated through replacing the radiance of the objects in the last frame with that of the same location in current frame. Thus,the scene corrected frame can be calculated by nonuniformity correction algorithm based on image registration. Then,the final corrected frame can be obtained through correcting the radiance of the moving objects. The tests with synthetic and true infrared scene sequences indicate that the proposed algorithm can solve the problem of nonuniformity correction for infrared image with moving objects efficiently.