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

Tzuu-Hseng S. Li; Ching Chang Chen

doi:10.1109/TCE.2013.6490249

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

Tzuu-Hseng S. Li, Ching Chang Chen

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

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.

Original language	English
Article number	6490249
Pages (from-to)	113-121
Number of pages	9
Journal	IEEE Transactions on Consumer Electronics
Volume	59
Issue number	1
DOIs	https://doi.org/10.1109/TCE.2013.6490249
Publication status	Published - 2013 Apr 17

All Science Journal Classification (ASJC) codes

Media Technology
Electrical and Electronic Engineering

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

abstract = "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.",

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N2 - 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.

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