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Singular Value Decomposition-Based Illumination Compensation in Video

  • Ki-Youn Lee
  • Rae-Hong Park
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4291)

Abstract

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.

Keywords

Singular Value Decomposition Illumination Change Color Distribution Successive Frame Normalize Cross Correlation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ki-Youn Lee
    • 1
  • Rae-Hong Park
    • 1
    • 2
  1. 1.Department of Electronic EngineeringSogang UniversitySeoulKorea
  2. 2.Interdisciplinary Program of Integrated BiotechnologySogang University 

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