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Extended Kalman filter based hand-shake detector for optical image stabilization using a low cost gyroscope

机译:基于扩展卡尔曼滤波器的手抖检测器,用于使用低成本陀螺仪进行光学图像稳定

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摘要

Application extended Kalman filter (EKF) based hand-shake detector to an optical image stabilization (OIS) stabilized by fuzzy sliding-mode controller (FSMC) is proposed in this paper to enhance the image sharpness and stabilization rate (SR) of digital cameras. A low-cost gyroscope is used to sense the hand-shake vibration independently in dual-axis and the EKF is designed to online tune the parameters of hand-shake detector for improving the phase-shift phenomenon. The proposed EKF based handshake detector determines the time-varying hand-shake vibration and adopts a multi-rate strategy to reduce the computational load. The developed OIS system equipped with the FSMC and EKF based hand-shake detector is implemented in a fixed-point 16-bit microcontroller. The OIS performance is improved by the EKF based hand-shake detector in the target frequency range 2-12 Hz, and the best SR is -30.46 dB at 8Hz and the largest improvement is 1.82 times (dB) at 2 Hz1.
机译:提出将基于扩展卡尔曼滤波器(EKF)的手抖检测器应用于由模糊滑模控制器(FSMC)稳定的光学图像稳定(OIS),以提高数码相机的图像清晰度和稳定率(SR)。低成本陀螺仪用于独立感应双轴上的握手振动,EKF设计用于在线调整握手检测器的参数以改善相移现象。所提出的基于EKF的握手检测器确定了随时间变化的握手振动,并采用了一种多速率策略来减少计算量。配备有基于FSMC和EKF的手抖检测器的已开发OIS系统是在定点16位微控制器中实现的。在2-12 Hz的目标频率范围内,基于EKF的手抖检测器可提高OIS性能,并且在8Hz时最佳SR为-30.46 dB,在2 Hz时最大改善为1.82倍(dB) 1

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