一种星空背景的运动补偿方法

A Robust Motion Compensation Method of Moving Stars Background

运动背景补偿技术是提高运动星空背景下弱小目标检测精度的关键技术之一。本文提出了一种基于块匹配与质心提取法相结合的星空背景运动补偿技术。该方法在样本运动参数估计阶段直接剔除异常点;为了减少块匹配过程中每个待匹配位置的运算次数,保持块匹配的精度,又引入了连续排除算法,降低了计算复杂度。实验验证了该方法的有效性和优越性,证明了该方法能有效地提高目标的信噪比并且降低差分残余图像灰度均值。

In order to improve the precision of small and dim targets detection in moving stars background, motion compensation is very important. In this paper, we propose a new compensation method based on block matching and eentroid locating. In this method, the abnormal points are deleted in the stage of sample motion estimation. In order to reduce the calculation number of matching position and keep the precision, we make use of the successive elimination algorithm. Therefore, the complexity was reduced. The validity and effectiveness is proved by experiments. The results show that the new method can enhance the Signal to Noise Ratio （SNR） and reduce the average grey value of remaining image.