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http://dx.doi.org/10.6109/jkiice.2010.14.8.1918

Robust Motion Estimation for Luminance Fluctuation Sequence  

Lee, Im-Geun (동의대학교 영상정보공학과)
Abstract
This In this paper, we propose an efficient algorithm for motion estimation of the image sequences with luminance fluctuation. For such sequences, conventional motion estimation methods based on the difference of pixel values usually produce the erroneous motion information. The proposed algorithm defines the luminance fluctuation as a linear model with gain and offset parameter, and extracts motion information using gradient and phase of the corresponding local region within consecutive frames. Therefor the method is robust to the luminance change of the frames. We test our algorithm for the ground truth sequence with artificially added luminance change and motion, and real sequences corrupted by the flicker. The results shows that the proposed algorithm outperforms the conventional methods.
Keywords
Motion Estimation; Gradient of Image; Luminance Fluctuation; Image Stabilization;
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1 Valery Naranjo, Antonio Albiol, "Flicker Reduction in Old Films," Proc. of 2000 ICIP, Vol. 2, pp.657-659, 2000.
2 Borko Furht, Joshua Greenberg, Raymond Westwater, Motion Estimation Algorithms For Video Compression, Kluwer Academic, 1997.
3 P.M.B van Roosemalen, R.L. Lagendijk, J. Biemond, "Correction of Intensity Flicker in Old Film Sequences," IEEE Trans. on Circuit and Systems, Vol. 9, Issue 7, 1999.
4 Anil Kokaram, Motion Picture Restoration, Springer, pp.13-44, 1998.
5 Christoph Stiller, Janusz Konrad, "Estimating Motion in Image Sequences," IEEE Signal Processing Mag., Vol. 16, Issue 4, 1999.
6 B.K.P. Horn, B.G. Schunk, "Determining Optical Flow," Artificial Intelligence, 17, 1981.
7 H.H. Nagel, "On the estimation of optical flow: relation between different approaches and some new results", Artificial Intelligence, 33, pp.299-324, 1987.   DOI   ScienceOn