Perception-Based lighting adjustment of image sequences

  • Authors:
  • Xiaoyue Jiang;Ping Fan;Ilse Ravyse;Hichem Sahli;Jianguo Huang;Rongchun Zhao;Yanning Zhang

  • Affiliations:
  • VUB-NPU Joint Research Group on Audio Visual Signal Processing (AVSP);VUB-NPU Joint Research Group on Audio Visual Signal Processing (AVSP);VUB-NPU Joint Research Group on Audio Visual Signal Processing (AVSP);VUB-NPU Joint Research Group on Audio Visual Signal Processing (AVSP);VUB-NPU Joint Research Group on Audio Visual Signal Processing (AVSP);VUB-NPU Joint Research Group on Audio Visual Signal Processing (AVSP);VUB-NPU Joint Research Group on Audio Visual Signal Processing (AVSP)

  • Venue:
  • ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
  • Year:
  • 2009

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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.