IMAGE SEQUENCE STABILIZATION USING FUZZY KALMAN FILTERING AND LOG-POLAR TRANSFORMATION
Nikolaos Kyriakoulis, Antonios Gasteratos, Angelos Amanatiadis
2008
Abstract
Digital image stabilization (DIS) is the process that compensates the undesired fluctuations of a frame’s position in an image sequence by means of digital image processing techniques. DIS techniques usually comprise two successive units. The first one estimates the motion and the successive one compensates it. In this paper, a novel digital image stabilization technique is proposed, which is featured with a fuzzy Kalman estimation of the global motion vector in the log-polar plane. The global motion vector is extracted using four local motion vectors computed on respective sub-images in the log-polar plane. The proposed technique exploits both the advantages of the fuzzy Kalman system and the log-polar plane. The compensation is based on the motion estimation in the log-polar domain, filtered by the fuzzy Kalman system. The described technique outperforms in terms of response times, the output quality and the level of compensation.
References
- Sato, K., Ishizuka, S., Nikami, A., Sato, M., 1993. Control techniques for optical image stabilizing system. IEEE Transactions on Consumer Electronics, 39(3):461 466.
- Morimoto, C. and Chellappa, R., 1996. Fast Electronic digital image stabilization for off-road navigation. Real-Time Imaging, 2:285-296.
- Ko, S.J., Lee, S.H. and Lee, K.H., 1998. Digital image stabilizing algorithms based on bit-plane matching. IEEE Transactions on Consumer Electronics, 44(3): 617-622.
- Chanon, M., Aguilar, L. and Delgado, A., 2002. Definition and applications of a fuzzy image processing scheme. Proceedings of 2002 IEEE 10th Digital Signal Processing Workshop and the 2nd Signal Processing Education Workshop.
- Kwon, O., Shin, J. and Paik J., 2005. Video stabilization using Kalman filter and phase correlation matching. Lecture Notes in Computer Science, 3656:141-148.
- Hsu, S., Liang, S. and Lin, C., 2005. A robust digital image stabilization technique based on inverse triangle method and background detection. IEEE Transactions on Consumer Electronics, 51(2):335-345.
- Martinez-de Dios, J.R. and Ollero A.,2004. A real-time image stabilization system based on Fourier-Mellin transform. Lecture Notes in Computer Science, 3211:376-383.
- Güllü, M.K. and Ertürk, S., 2004. Membership function adaptive fuzzy filter for image sequence stabilization. IEEE Transactions on Consumer Electronics, 50(1).
- Ertürk, S., 2002. Real-Time Digital Image Stabilization Using Kalman Filters. Real-Time Imaging, 8:317-328.
- Suk, J., Lee, G. and Lee, K., 2005. New electronic digital image stabilization algorithm in wavelet transform domain. Lecture Notes in Computer Science, 3802:911-916.
- Pauwels, K., Lappe, M. and Hulle, M.V., 2007. Fixation as a Mechanism for stabilization of short image sequences. International Journal of Computer Vision, vol. 72, pp. 67-78, 2007.
- Tistarelli, M. and Sandini, G., 1993. On the advantages of polar and log-polar mapping for direct estimation of time-to-impact from optical flow. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(4):401-410.
- Pun, C. and Lee, M., 2003. Log-polar wavelet energy signatures for rotation and scale invariant texture classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(5):590-603.
- Metta, G., Gasteratos, A. and Sandini, G., 2004. Learning to track colored objects with log-polar vision. Mechatronics, 14(9):989-1006.
- Manzotti, R., Gasteratos, A., Metta, G. and Sandini, G., 2001. Disparity estimation on log-polar images and vergence control. Computer Vision and Image Understanding, 83(2):97-117.
- Mahmoud, H., Goel, S., Shaaban, M. and Bayoumi, M., 2006. A new efficient block-matching algorithm for motion estimation. Journal of VLSI Signal Processing, 42:21-33.
- Daniilidis, K. and Krüger, V., 1995. Optical flow computation in the log-polar plane. In Proceedings 6th International Conference on Computer Analysis of Images and Patterns, Springer-Verlag, Berlin, 65-72.
- Barron, J., Beauchemin, S. and Fleet, D., 1994. Performance of optical flow techniques. International Journal of Computer Vision, 12:43-77.
- Welch, G. and Bishop, G., 2001. An introduction to the Kalman filter. ACM SIGGRAPH 2001 Course Notes.
Paper Citation
in Harvard Style
Kyriakoulis N., Gasteratos A. and Amanatiadis A. (2008). IMAGE SEQUENCE STABILIZATION USING FUZZY KALMAN FILTERING AND LOG-POLAR TRANSFORMATION . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 469-475. DOI: 10.5220/0001071404690475
in Bibtex Style
@conference{visapp08,
author={Nikolaos Kyriakoulis and Antonios Gasteratos and Angelos Amanatiadis},
title={IMAGE SEQUENCE STABILIZATION USING FUZZY KALMAN FILTERING AND LOG-POLAR TRANSFORMATION},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={469-475},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001071404690475},
isbn={978-989-8111-21-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - IMAGE SEQUENCE STABILIZATION USING FUZZY KALMAN FILTERING AND LOG-POLAR TRANSFORMATION
SN - 978-989-8111-21-0
AU - Kyriakoulis N.
AU - Gasteratos A.
AU - Amanatiadis A.
PY - 2008
SP - 469
EP - 475
DO - 10.5220/0001071404690475