电子稳像中的运动补偿矢量处理方法的研究

Research on image motion vector processing in electronic image stabilization

在摄像系统中通过帧间匹配获取帧间运动矢量,进行滤波处理,将镜头的合理运动矢量与由光学系统载体不稳定带来的图像抖动噪声相分离,得出实际用于补偿的位移矢量。提出了多矢量平均算法,结合系统的实用要求改善其对载体合理运动的响应,使系统可以在运动拍摄中也保持图像稳定,不会因为增加了稳像功能对合理的拍摄过程有太大的影响。经过软件模拟和在硬件电子稳像平台上的实际验证,证明该算法简单可靠,在合理采集运动矢量的基础上可以达到很好的稳像效果。

Image motion vectors are gotten by interframe matching and are filtered to be separated into intentional motion vector and image dithering noise which caused by instability of optical system's carrier. Actual compensating vectors are gotten. The multi-vector averaging strategy was presented and practically ameliorated to achieve better response to intended motions, so image stabilization can be attained even if the camera is being panned and intentional camera motions are not noticeably affected. By simulation on software programming and experiments on real hardware electronic image processing system, the method was proved to be simple, reliable and it performs well on condition that the motion vectors are logically calculated.