Correction algorithm based on supervised color constancy for low-illumination images

被引：0
|
作者：
Li, Hong [1 ]
Feng, Yan-Hui [2 ,3 ]
Lin, Jun [1 ]
机构：
[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
来源：
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2010年 / 40卷 / 05期
关键词：
Color constancy - Color temperatures - Correction algorithms - Human visual - Illumination adjustments - Low illuminations - Video - Visual adjustments;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：1355 / 1358
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