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Perception-based Lighting Adjustment of Image Sequences Host Publication: Computer Vision – ACCV 2009 Authors: X. Jiang, P. Fan, I. Ravyse, H. Sahli, J. Huang, R. Zhao and Y. Zhang Publisher: Springer Publication Date: Sep. 2009 Number of Pages: 12 ISBN: 978-3-642-12296-5
Abstract: In this paper, we propose a 2-step algorithm to reduce the lighting influences between frames in an image sequence. First, the lighting parameters of a perceptual lighting model are initialized using an entropy measure. Then the difference between two successive frames is used as a cost function for further optimization the above lighting parameters. By applying the proposed lighting model optimization on an image sequence, the neighboring frames become similar in brightness and contrast while features are enhanced. The effectiveness of the proposed approach is illustrated on the detection and tracking of facial features.
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