图像去雾的大气光幕修补改进算法

吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 389-393.

图像去雾的大气光幕修补改进算法

谭华春¹, 朱湧¹, 赵亚男¹, 谢湘², 陈涛³, 章毓晋⁴

1. 北京理工大学机械与车辆学院,北京 100081;
2. 北京理工大学信息与电子学院,北京100081;
3. 长安大学汽车学院,西安 710064;
4. 清华大学电子工程系,北京 100084

收稿日期:2012-09-05 发布日期:2013-06-01
作者简介:谭华春(1975-),男,副教授.研究方向:图像工程,计算机视觉,智能交通系统.E-mail:tanhc@bit.edu.cn
基金资助:
国家自然科学基金项目(61171118;61271376;91120015;91120010);北京市自然科学基金项目(4122067);中央高校基本科研业务费专项资金项目(CHD2011SY010).

Image fog removal using improved atmospheric veil inpainting

TAN Hua-chun¹, ZHU Yong¹, ZHAO Ya-nan¹, XIE Xiang², CHEN Tao³, ZHANG Yu-jin⁴

1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China;
2. School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;
3. School of Automobile, Chang'an University, Xi'an 710064, China;
4. Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

Received:2012-09-05 Published:2013-06-01

摘要/Abstract

摘要：

在雾天环境下,针对大气中存在悬浮微粒导致采集的图像降质问题,提出一种大气光幕修补改进算法对单幅图像去雾。首先简化大气散射物理模型,对大气光幕粗估计,并基于引导滤波器提出一种大气光幕修补的改进算法,从而得到更精确的大气光幕;然后提出了一种半逆法准确估计空气光强度;最后通过求解雾天图像大气散射模型恢复理想光照条件下的清晰图像。实验结果表明,该算法能鲁棒地估计大气光强度,能在保证大气光幕边缘的同时进行良好的平滑操作,提高图像的视见度。

关键词: 计算机应用, 图像去雾, 半逆法, 引导滤波

Abstract:

Images captured in foggy weather condition exhibit losses in quality due to atmospheric particles.A novel single image fog removal method was proposed using improved atmospheric veil inpainting.At first,the atmospheric scattering model was simplified,and the coarser atmospheric veil estimate was refined using guided filter approach that improved atmospheric veil inpainting.Then a semi-inverse method of the fog image was produced to estimate the Airlight accurately.Finally,the fog-free image could be recovered by solve imaging physical equation of atmospheric scattering model.Results demonstrate the power of the proposed method performs as an edge-preserving smoothing operator and achieves a great improvement in image visibility.

Key words: computer application, image fog removal, semi-inverse, guided filter

中图分类号:

TP391

谭华春, 朱湧, 赵亚男, 谢湘, 陈涛, 章毓晋. 图像去雾的大气光幕修补改进算法[J]. 吉林大学学报(工学版), 2013, 43(增刊1): 389-393.

TAN Hua-chun, ZHU Yong, ZHAO Ya-nan, XIE Xiang, CHEN Tao, ZHANG Yu-jin. Image fog removal using improved atmospheric veil inpainting[J]. 吉林大学学报(工学版), 2013, 43(增刊1): 389-393.

参考文献

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[3] Tan R.Visibility in bad weather from a single image[C]//IEEE Conference on Computer Vision and Pattern Recognition,Anchorgae,USA,2008,1:1- 8.

[4] He K M,Sun J,Tang X O.Single image haze removal using dark channel prior[C]//IEEE Conference on Computer Vision and Pattern Recognition,Miami,USA,2009,1:1956-1963.

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