Browse > Article

Mid frequency - DCT focus measure operator for the robust autofocus  

Lee, Sang-Yong (Korea University)
Park, Sang-Soo (Korea University)
Kim, Soo-Won (Korea University)
Publication Information
Abstract
This paper proposed noise insensitive 4*4 mid frequency-OCT (MF-DCT) focus measure operator. Proposed operator enhanced low power 8*8 MDCT operator to have 4*4 rotationally same form for Gaussian noise. MF-DCT operator acting like band-pass filter suppresses both low-frequency signal useless for focus measure and high-frequency signal affected by impulsive noise. Also it is proved to be linear because it uses the energy of band-pass filtered signal as focus measure. Experimental result shows its superiority by comparing AUM with traditional operators.
Keywords
Autofocus; Focus measure; Impulsive noise; Gaussian noise; AUM;
Citations & Related Records
연도 인용수 순위
  • Reference
1 M. Subbarao, and J.K Tyan, 'Selecting the optimal focus measure for autofocusing and depth-from-focus,' IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 20, no. 8, pp. 864-870, Aug. 1998   DOI   ScienceOn
2 E. Krotkov, 'Focusing,' Int. J. of Computer Vision, vol. 1, pp. 223-237, 1987   DOI
3 M. Subbarao, and J.K Tyan, 'The optimal focus measure for passive autofocusing and depth from focus,' in SPIE Conf. Videometrics IV, vol. 2598, pp. 89-99, Philadelphia, Oct. 1995   DOI
4 S. Y. Lee, S. S. Park, C. S. Kim, Y. Kumar, and S. W. Kim, 'Low-power auto focus algorithm using. modified OCT for the mobile phones,' IEEE Int. Conf. on Consumer Electronics, pp. 67-68, Jan. 2006   DOI
5 G. Yang, and B.J. Nelson, 'Wavelet-based autofocusing and unsupervised segmentation of microscopic images,' in IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, vol. 3, pp. 2143-2148, Oct. 2003   DOI
6 Z. G. Jiang, D. B. Han, J. Chen, and X. K Zhou, 'A Wavelet Based Algorithm for Multi-Focus Micro-Image Fusion,' in IEEE 3rd Int. Conf. Image and Graphics, Hong Kong, Dec. 2004, pp. 176-179   DOI
7 J. M. Tenenbawn, 'Accommodation in computer vision,' Ph.D. thesis, Stanford University, 1970
8 S. K Navar and Y. Nakagawa, 'Shape from focus,' IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 16, pp. 824-831, Aug. 1994   DOI   ScienceOn
9 K. S. Choi, J. S. Lee, and S. J. Ko, 'New autofocus technique using the frequency selective weighted median filter for video cameras,' IEEE Trans. on Consumer Electronics, vol. 45, no. 3, pp. 820-827, Aug. 1999   DOI   ScienceOn
10 S. M. Sohn, S. H. Yang, S. W. Kim, K H. Baek, and W. H. Paik, 'SoC design of an auto-focus driving image signal processor for mobile camera applications,' IEEE Trans. Consumer Electronics, vol. 52, no. 1, pp. 10-16, Feb. 2006   DOI   ScienceOn
11 V. Peddigari, M. Gamadia, and N. Kehtarnavaz, 'Real-time implementation issues in passive automatic focusing for digital still cameras,' J. of Imaging Science and Technology, vol. 49, pp. 114-123, March/April 2005