Singular Value Decomposition-Based Illumination Compensation in Video
This paper presents a singular value decomposition (SVD)-based illumination compensation method in video having varying scene illumination. In video that does not contain scene changes, the color distributions in the RGB space are different frame to frame, mainly due to varying illumination. In this paper, the color distribution of a scene is modeled as an ellipsoid using SVD and scene illumination of successive frames is preserved by the linear transformation in the RGB space. The effect of illumination change is effectively removed by the linear transformation and the similarity measures such as the normalized cross correlation, the sum of absolute differences, and the sum of squared differences of two successive image frames, are preserved, which illustrates the effectiveness of the proposed algorithm. Simulation results with several synthetic and real test sequences show the robustness of the proposed method to illumination changes compared with the conventional methods.
KeywordsSingular Value Decomposition Illumination Change Color Distribution Successive Frame Normalize Cross Correlation
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- 1.Wang, Y., Ostermann, J., Zhang, Y.Q.: Video Processing and Communications. Prentice-Hall, Englewood Cliffs (2002)Google Scholar
- 2.Wei, J., Li, Z.N.: Motion Compensation in Color Video with Illumination Variations. In: Proc. IEEE Conf. Image Processing, vol. 3, pp. 614–617 (1997)Google Scholar
- 3.Gomez-Moreno, H., Maldonado-Bascon, S., Lopez-Ferreras, F., Acevedo-Rodriguez, F.J.: Extracting Illumination from Images by Using the Wavelet Transform. In: Proc. IEEE Conf. Image Processing, vol. 2, pp. 265–268 (2001)Google Scholar
- 11.Strang, G.: Introduction to Linear Algebra. Wellesley Cambridge Press (2003)Google Scholar