CAJ | 학술논문

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。
유우기우정간배준오차최소화적비균균성교정산법(IRLMS)재대홍외도상비균균성적교정과정중，대우존재운동전경적장경결핍대운동전경위이적준학고계，화배준정도교저시교정삼수불능자괄응지공제기경신속솔，산생귀영현상。위료해결저일문제，제출료일충개진적정간오차최소화비균균성교정방법。해방법사용LK광류대장경중적운동전경진행중신배준，고계출운동위이，수정오차도상，이극복전경운동산생적귀영현상；동시통과고계출상린정도상지간거제비균균성후적상위상관구진적봉치，이기봉치자괄응지수정삼수경신적속솔，이극복재배준정도교저시교정삼수경신과쾌조성적영향。실험결과표명：해방법능구극복전경운동화배준정도교저시산생적귀영현상，유효지제고료IRLMS산법적실용성。
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.