基于自适应亮度基准漂移的十字路口交通图像增强处理研究

刘操; 郑宏; 黎曦

doi:10.13203/j.whugis20130717

基于自适应亮度基准漂移的十字路口交通图像增强处理研究

刘操^1,2,
郑宏^1,2,,
黎曦^2,3

1.
武汉大学电子信息学院, 湖北武汉, 430072;
2.
湖北省视觉感知与智能交通技术研究中心, 湖北武汉, 430072;
3.
武汉工程大学电气信息学院, 湖北武汉, 430205

基金项目: 国家973计划资助项目(2012CB719905)。

详细信息

作者简介:
刘操,博士生,主要从事模式识别与图像处理系统研究。E-mail:lc1000@whu.edu.cn

通讯作者:
郑宏,博士,教授。E-mail:zh@whu.edu.cn

中图分类号: P237.3
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出版历程
- 收稿日期: 2013-12-01
- 发布日期: 2015-10-04

A Method for Intersection Traffic Image Enhancement Based on Adaptive Brightness Baseline Drift

LIU Cao^1,2,
ZHENG Hong^1,2,,
LI Xi^2,3

1.
Electronic Information School, Wuhan University, Wuhan 430072, China;
2.
Hubei Research and Development Center of Vision Perception and Intelligent Trasportation Technology, Wuhan 430072, China;
3.
Electronic Information School, Wuhan Institute of Technology, Wuhan 430205, China

Funds: The National Key Basic Research Development Program (973 Program) of China, No.2012CB719905.

摘要

摘要: 针对大多数增强方法未能同时考虑图像与光照强度、拍摄时间之间关系的问题,根据不同时刻的光照强度变化,提出了一种基于自适应亮度基准漂移的全天候十字路口交通图像的增强算法。首先依据不同时刻的光照变化建立亮度基准曲线,然后由亮度基准曲线和亮度实时反馈建立自适应亮度基准值模型,最后对图像的亮度分量运用亮度基准值模型自适应增强。实验结果证明了该方法在全天候不同光照条件下图像增强的有效性以及不同天气条件下增强的鲁棒性。
- 自适应亮度基准漂移 /
- 图像增强 /
- 十字路口 /
- 交通图像
Abstract: As most enhancement methods do not consider the simultaneous relationship among images, light intensity, and shooting times, this paper proposes an enhancement algorithm for all-weather intersection traffic images based on adaptive brightness baseline drift (ABBD) according to illumination variations at different times. The algorithm establishes a brightness benchmark curve according to the changing illumination at different times, and then an adaptive brightness benchmark model is set up based on the brightness benchmark curve and the real-time brightness feedback. The proposed algorithm uses the brightness benchmark model to enhance the brightness of the image adaptively. Experimental results show the method's effectiveness for image enhancement in all-weather and different light conditions, as well as its robustness under different weather conditions.
- adaptive brightness baseline drift /
- image enhancement /
- intersection /
- traffic image

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参考文献(11)

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