前景重配准的改进帧间误差最小化非均匀性校正算法  

Improved interframe registration based least-mean-square-error non-uniformity correction algorithm by foreground re-registration

作　　者：季尔优[1] 顾国华[1] 柏连发[1] 陈钱[1] 钱惟贤[1] 

机构地区：[1]南京理工大学电光学院光电技术系,江苏南京210094

出　　处：《红外与激光工程》2014年第5期1672-1678,共7页Infrared and Laser Engineering

基　　金：国家自然科学基金(61101199);江苏省自然科学基金(BK201199);南京理工大学自主科研重大研究计划(20112DJH22)

摘　　要：由于基于帧间配准误差最小化的非均匀性校正算法(IRLMS)在对红外图像非均匀性的校正过程中,对于存在运动前景的场景缺乏对运动前景位移的准确估计,和配准精度较低时校正参数不能自适应地控制其更新速率,产生鬼影现象。为了解决这一问题,提出了一种改进的帧间误差最小化非均匀性校正方法。该方法使用LK光流对场景中的运动前景进行重新配准,估计出运动位移,修正误差图像,以克服前景运动产生的鬼影现象;同时通过估计出相邻帧图像之间去除非均匀性后的相位相关矩阵的峰值,以其峰值自适应地修正参数更新的速率,以克服在配准精度较低时校正参数更新过快造成的影响。实验结果表明:该方法能够克服前景运动和配准精度较低时产生的鬼影现象,有效地提高了IRLMS算法的实用性。In the process of non-uniformity correction for the infrared images using the interframe registration based least-mean-square-error non-uniformity correction algorithm （IRLMS）, the accurate estimation for the displacement of the moving foreground was lacked in the scenes where moving foreground exists and the the rate of calibration parameter can not be adaptively updated in control when the registration accuracy is low, thus ghosting would be produced. To solve this problem, an improved interframe registration based least-mean-square-error non-uniformity correction algorithm was presented in this paper. LK optical flow was used to re-registrate the moving foreground, estimating the motion displacement and correcting the error image, to overcome the ghosting caused by the moving foreground. Meanwhile, the peak of the phase correlation matrix of the images which has eliminated the non-uinformity can be estimated, and the peak can be used to correct the updating rate of parameters adaptively, to overcome the impact causing by the overquick updating rate of the calibration parameter. As is shown in the experimental results, this method can suppress the ghosting phenomenon in the case that the foreground is moving and the registration accuracy is low, and improve the practicability of the IRLMS algorithm effectively.

关 键 词：非均匀性校正 红外焦平面阵列 前景重配准 固定图案噪声 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]