期刊导航

论文摘要

基于大气消光系数和引导滤波的浓雾图像去雾算法

Algorithm about Dense Fog Image Dehazing Based on Atmospheric Extinction Coefficient and Guided Filtering

作者:龙伟(四川大学制造学院);傅继贤(四川大学制造学院);李炎炎(四川大学制造学院);夏玉琪(四川大学制造学院);杨国涛(四川大学制造学院)

Author:longwei();fujixian(School of Manufacturing Science and Engineering Sichuan Univercity);李炎炎();夏玉琪();yangguotao(School of Manufacturing Science and Engineering Sichuan Univercity)

收稿日期:2016-01-06          年卷(期)页码:2016,48(4):175-180

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:雾浓度因子,大气消光系数,能见度,引导滤波,图像去雾

Key words:fog concentration factor; atmospheric extinction coefficient; guided filtering; visibility; images defogging

基金项目:名称:四川省科技支撑计划资助项目 项目号:(2014KJT070) 课题名称:基于云数据的高速公路车辆雨雾灾害动态预警的关键技术研究

中文摘要

针对浓雾天气下户外采集的图像退化严重的问题,提出了一种浓雾图像的去雾算法。本文简化了雾天成像物理模型,提出雾浓度因子的概念,并在分析影响雾天能见度因素时借助大气消光系数建立了能见度和雾浓度因子的关系。通过对单幅浓雾图像的能见度值进行估计求得雾浓度因子的值,再结合灰度图像引导滤波估计大气光值,最后借助修复函数完成有雾图像的去雾处理。去雾实验结果显示:本文算法处理后的图像亮度效果好,图像对比度和清晰度高,图像整体视觉感知效果好。

英文摘要

In order to deal with the problems that dense fog influenced the image quality, a dense fog image defogging algorithm was put forward. In this paper, the physical model of imaging in fog was simplified,and the concept of fog concentration factor was put forward. The relationship between visibility and fog concentration factor was established when this paper analyzed the factors affecting the concentration of fog. By seeking the value of the fog concentration factor and Estimating the value of atmospheric light using guided filtering, the dense fog image could be recovered. Experimental results showed that after the algorithm the image brightness is higher, the image contrast and resolution is higher, and the overall visual perception of the image is better.

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