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Practical Approach for Controlling Optical Image Stabilization System

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Abstract

This paper proposes a practical methodology for designing an optical image stabilization system controller that consists of a gyro signal filter and feedback controller for a smart phone camera module called miniature camera module. Since the advent of smartphone, miniature camera modules have become much more compact and sophisticated than the modules in the digital single-lens reflex camera. Therefore, a greater consideration on designing controller for the miniature camera module is necessary to obtain higher performance. This paper proposes 1) the OIS system’s block diagram connecting the physical part and the controller part and 2) the methodology for designing feedback controller according to the performance index from the block diagram. A linear feedback controller and gyro signal filter are designed using the proposed methodology and its performance is verified via experimentation.

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References

  1. J. Y. Cho, Development of Image Stabilization Control System for Optical Camera, Master’s Thesis, Korea Advanced Institute of Science and Technology, Daejeon, Korea, 2010.

    Google Scholar 

  2. B. Cardani, “Optical image stabilization for digital cameras,” IEEE Control Systems Magazine, vol. 26, no. 2, pp. 21–22, April 2006.

    Article  Google Scholar 

  3. M. G. Song, Y. J. Hur, N. C. Park, K. S. Park, Y. P. Park, S. C. Lim, and J. H. Park, “Design of a voice-coil actuator for optical image stabilization based on genetic algorithm,” IEEE Trans. on Magnetics, vol. 45, no. 10, pp. 4558–4561, October 2009.

    Article  Google Scholar 

  4. C. W. Chiu, P. C. P. Chao, N. Y. Y. Kao, and F. K. Young, “Optimal design and experimental verification of a magnetically actuated optical image stabilization system for cameras in mobile phones,” Journal of Applied Physics, vol. 103, no. 7, pp. 1–3, December 2008.

    Google Scholar 

  5. F. Xiao, J. E. Farrell, and B. A. Wandell, “Psychophysical thresholds and digital camera sensitivity: the thousandphoton limit,” Proc. SPIE 5678, Digital Photography, Electronic Imaging 2005, pp. 75–84, February 2005.

    Google Scholar 

  6. B. Golik and D. Wueller, “Measurement method for image stabilizing systems,” Proc. SPIE 6502, Digital Photography III, Electronic Imaging 2007, pp. 1–10, February 2007.

    Google Scholar 

  7. K. T. Wyne, “A comprehensive review of tremor,” Journal of the American Academy of Physician Assistants, vol. 18, no. 12, pp. 43–50, December 2005.

    Article  Google Scholar 

  8. M. Li, B. Wang, X. Yi, J. Hao, F. Wu, and H. Qin, “Electronic image stabilization algorithm based on PCASIFT feature matching and self-adaptive high-pass filtering,” Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application: Image Processing and Pattern Recognition, vol. 9301, pp. 93011H–1–93011H–7, November 2014.

    Google Scholar 

  9. L. B. Luo and J.W. Chong, “Real-time digital image stabilization for cell phone cameras in low-light environments without frame memory,” ETRI Journal, vol. 34, no. 1, pp. 138–141, February 2012.

    Article  MathSciNet  Google Scholar 

  10. P. S. Kim, “Image sequence stabilization scheme using FIR filtering,” International Journal of Control Automation and Systems, vol. 1, no. 4, pp. 515–519, December 2003.

    Google Scholar 

  11. J. H. Moon and S. Y. Jung, “Implementation of an image stabilization system for a small digital camera,” IEEE Trans. on Consumer Electronics, vol. 54, no. 2, pp. 206–212, May 2008.

    Article  MathSciNet  Google Scholar 

  12. J. Y. Cho and K. S. Kim, “Nonlinear sliding surface design for optical image stabilizer of digital camera,” Proc. of International Conference on Control, Automation and Systems (ICCAS), pp. 2402–2403, October 2010.

    Google Scholar 

  13. T. V. Galstian, Smart Mini-Cameras, CRC Press, 2013.

    Book  Google Scholar 

  14. S. W. Miller, S. D. Brodie, and Y. Takase, Single Piece Optical Image Stabilization Actuator Coil Assembly, U.S. Patent, Application No. 10/250,810, 2019.

    Google Scholar 

  15. C. kim, M. G. Song, Y. Kim, N. C. Park, K. S. Park, and Y. P. Park, “Design of a new triple electro-magnetic optical image stabilization actuator to compensate for hand trembling,” Microsystem Technologies, vol. 18, no. 9–10, pp. 1323–1334, May 2012.

    Article  Google Scholar 

  16. D. Leping, Lens Actuator, U.S. Patent, No. 9,304,326, April 2016.

    Google Scholar 

  17. S. K. Lee and J. H. Kong, “A study on the design exploration of Optical Image Stabilization (OIS) for smart phone,” Journal of Digital Contents Society, vol. 19, no. 8, pp. 1603–1615, August 2018.

    Article  Google Scholar 

  18. D. Y. Koh, Y. K. Kim, K. S. Kim, and S. Kim, “Bioinspired image stabilization control using the adaptive gain adjustment scheme of vestibulo-ocular reflex,” IEEE/ASME Transactions on Mechatronics, vol. 21, no. 2, pp. 922–930, April 2015.

    Article  Google Scholar 

  19. S. Suh, “Stability driven optimal controller design for high quality images,” Electronics, vol. 7, no. 12, pp. 437–459, December 2018.

    Article  Google Scholar 

  20. A. Alizadegan, P. Zhao, R. Nagamune, and M. Chiao, “Robust H∞ control of miniaturized optical image stabilizers against product variabilities,” Control Engineering Practice, vol. 80, pp. 70–82, August 2018.

    Article  Google Scholar 

  21. T. H. S. Li, C. C. Chen, and Y. T. Su, “Optical image stabilizing system using Fuzzy sliding-mode controller for digital cameras,” IEEE Transactions on Consumer Electronics, vol. 58, no. 2, pp.237–245, May 2012.

    Google Scholar 

  22. Y. Y. Shih, S. F. Su, and I. Rudas, “Fuzzy based handshake compensation for image stabilization,” Proc. of International Conference on System Science and Engineering, IEEE, pp. 40–44, August 2012.

    Google Scholar 

  23. J. W. Blaker and W. M. Rosenblum, Optics: An Introduction for Students of Engineering, Macmillan Publishing Company, 1993.

    Google Scholar 

  24. N. Aoki, H. Kusaka, and H. Otsuka, “Measurement and description method for image stabilization performance of digital cameras,” Proc. SPIE 8659, Sensors, Cameras, and Systems for Industrial and Scientific Applications XIV, IS&T/SPIE Electronic Imaging 2013, vol. 8659, pp. 86590O–1–86590O–14, February 2013.

    Google Scholar 

  25. ROHM Semiconductor, Optical Image Stabilization (OIS) white paper, http://www.rohm.com

  26. S. K. Lee and J. H. Kong, “The design and evaluation of BACK/DCF for mobile OIS gyro sensor’s zero point angle following,” Journal of the Institute of Electronics Engineers of Korea SD, vol. 18, pp. 1–8, August 2016.

    Google Scholar 

  27. U. Artmann and P. Feldker, “Image stabilization performance: existing standards and the challenges for mobile imaging,” Society for Imaging Science and Technology, vol. 49, no. 8, pp. 16–21, February 2016.

    Google Scholar 

  28. K. A. Morris, Introduction to Feedback Control, Academic Press, Inc., 2000.

    MATH  Google Scholar 

  29. S. K. Lee and J. H. Kong, “Design and implementation of fuzzy-based algorithm for hand-shake detection and error compensation in mobile OIS motion detector,” Journal of the Institute of Electronics and Information Engineers, vol. 52, no. 8, pp. 29–39, August 2015.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Korea

    Woo-Yong Kim, Hyung-Tae Seo, Soohyun Kim & Kyung-Soo Kim

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  1. Woo-Yong Kim
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  2. Hyung-Tae Seo
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  3. Soohyun Kim
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  4. Kyung-Soo Kim
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Correspondence to Kyung-Soo Kim.

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Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Recommended by Editor Doo Yong Lee. This research was funded by DONGWOON Anatech (https://www.dwanatech.com).

Woo-Yong Kim received his B.S. degree from the Department of Mechanical System and Design Engineering, Seoul National University of Science and Technology in 2014, and his M.S. degree in Robotics program from KAIST in 2016. His research interests include linear control, state observer, and parameter estimation of battery management system.

Hyung-Tae Seo received his B.S. degree in Mechanical Engineering from KAIST in 2011, his M.S. degree in Mechanical Engineering from KAIST in 2013. His research interests include robust control theory, and hydraulic control system.

Soohyun Kim received his B.S. degree in Mechanical Engineering from Seoul National University in 1978, an M.S. degree in Mechanical Engineering from KAIST in 1980, and a Ph D. degree in Mechanical Engineering from Imperial College, Univ. of London in 1991. His research interests include Bio-mimetic robot system & autonomous path planning, and spectroscopy and optics-based sensors (development of minimized femtosecond fiber laser and optical system for detecting of hazard agents).

Kyung-Soo Kim received his B.S. degree in Mechanical Engineering from KAIST in 1993, an M.S. degree in Mechanical Engineering from KAIST in 1995, and a Ph.D degree in Mechanical Engineering from KAIST in 1999. His research interests include control theories & applications (robust control theories, disturbance estimation/compensation, and motor control), sensors and actuators (pneumatic/hydraulic actuation, and new actuation mechanism & control), robotics (robot hands, walking robots, and robot manipulators), and automotive technologies (electrical power steering, new hybrid powertrain design & control, and electric vehicles).

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Kim, WY., Seo, HT., Kim, S. et al. Practical Approach for Controlling Optical Image Stabilization System. Int. J. Control Autom. Syst. 18, 824–833 (2020). https://doi.org/10.1007/s12555-018-0913-0

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  • DOI: https://doi.org/10.1007/s12555-018-0913-0

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