Image stabilization using FIR filters
Richard Y. Park, Jung Min Pak, Choon Ki Ahn, Myo Taeg Lim · 2015
Video cameras mounted on fixed or moving platforms have been currently utilized for checking construction sites. In case of cameras mounted on flying drones, jitters in captured images are often caused by wind and vibration. To overcome this problem, image stabilization methods based on Kalman filter (KF) have been proposed. However, the KF may exhibit poor performance due to mistuning on the model parameters. This paper proposes a new image stabilization method based on finite impulse response (FIR) filter, which is more robust against mistuning on the model parameters than the KF. The effectiveness and performance of the proposed method is demonstrated by the image stabilization experiments, in which images are captured by the camera mounted on the flying drone.