吉林大学学报(工学版) ›› 2010, Vol. 40 ›› Issue (05): 1355-1358.

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Correction algorithm based on supervised color constancy for low illumination images

LI Hong1,FENG Yan-hui2,3,LIN Jun1   

  1. 1.College of Instrumentation and Electrical Engineering,Jilin University,Changchun 130026,China；2.IT Research Institute, Hydraulic Research Academe of Jilin Province,Changchun 130022,China；3.Jihui Science and Technology Co Ltd of Jilin Province,Changchun 130022|China
  • Received:2009-08-15 Online:2010-09-01 Published:2010-09-01

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Abstract:

A new surveillance color constancy algorithm is proposed. It is used in machine vision recognition to solve illumination adjustment due to color temperature variation. According to the human visual contrast resolution limit rule, the parabola function is adopted to take brightness gain. The image illumination values are mapped into superior experimental scope. Experiment results show that the algorithm can achieve the desired visual adjustment effect, and enhance the recognition rate effectively. It does not need to transform the RGB to another color space, so the computation can be faster.

Key words: computer application, video, color constancy, illumination, parabola function, mapping

CLC Number: 

  • TP391
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