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论文:2018,Vol:36,Issue(3):414-419 |
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引用本文： |
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黄鹤, 宋京, 郭璐, 王萍, 王会峰. 基于新的中值引导滤波的交通视频去雾算法[J]. 西北工业大学学报 |
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Huang He, Song Jing, Guo Lu, Wang Ping, Wang Huifeng. A Novel Dehazing Algorithm Based on Median Guide Filter for Traffic Video[J]. Northwestern polytechnical university |
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| 基于新的中值引导滤波的交通视频去雾算法 |
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| 黄鹤1,2, 宋京1, 郭璐3, 王萍1, 王会峰1,2 |
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1. 长安大学 电子与控制工程学院, 陕西 西安 710064;
2. 陕西省道路交通智能检测与装备工程技术研究中心, 陕西 西安 710064;
3. 西北工业大学 第365研究所, 陕西 西安 710065 |
| 摘要: |
| 针对现有改进双边滤波算法处理雾霾天气下交通图像过程中边缘保持效果不理想且容易出现噪声斑块的问题，提出了一种基于新的中值引导滤波的去雾算法。首先，在快速引导滤波基础上改进，利用引导图像在滤波窗口的中值重新定义以像素k为中心的窗口系数ak和bk，并应用在对滤波框内临近像素点上，避免了对引导图像和滤波图像求方差和协方差，进一步提升计算速度。去雾阶段则将含雾图像转化到RGB颜色空间，获取暗通道值、大气光值以及粗透射率，利用中值引导滤波算法对粗透射率进行优化，得到透射率的精确值，根据模型方程反向求解获得去雾图像。实验结果证明，与传统方法相比，新算法去雾效果强化了对边缘的检测和保持能力，更好保持了图像细节。同时，运算效率较同类算法提升较大，实时性较高，可用于交通视频处理。 |
| 关键词:
中值引导滤波
图像处理
透射率
去雾
视频
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| A Novel Dehazing Algorithm Based on Median Guide Filter for Traffic Video |
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| Huang He1,2, Song Jing1, Guo Lu3, Wang Ping1, Wang Huifeng1,2 |
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1. School of Electronic and Control Engineering, Chang'an University, Xi'an 710064, China;
2. Shaanxi Road Traffic Intelligent Detection and Equipment Engineering Technology Research Center, Xi'an 710064, China;
3. The 365 th Institute of Northwestern Polytechnical University, Xi'an 710065, China |
| Abstract: |
| Aiming at the problem that the edge preserving effect of the existing improved bilateral filtering algorithm in the process of dealing with the haze weather traffic images is not ideal, and the algorithm is time consuming and computationally inefficient,which is unacceptable in the traffic video defogging. Thus, this paper proposed a new algorithm based on median guide filter for this target. In the full paper, we explain in some detail about median guide filter; in this abstract, we just add some pertinent remarks to listing the title of each section of this paper. The six sections of this paper are:introduction(section 0), traffic image degradation model in fog and haze weather(section 1), guide filter(section 2), the design of median guide filter(section 3), Optimization of transmittance estimation(section 4), experimental result(section 5), conclusion(section 6). In section 2, we introduce the basic principle of guide filter. In section 3, we propose median guide filter and the formulas of algorithm are deduced and point out the deficiency of the traditional algorithm. In section 4, we introduce a simple method to optimize transmittance estimation. In section 5, In order to verify the effect of defog, we perform a simulation on MATLAB,the analyze of simulation results, indicates that our median guide filter algorithm can not only guarantee the effectiveness of defog, but also ensure the efficiency of calculation. |
| Key words:
computer simulation
median guide filter
image processing
transmittance
defogging
video
design of experiments
computational efficiency
pixels
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| 收稿日期: 2017-04-02
修回日期:
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| DOI: |
| 基金项目: 国家自然科学基金青年科学基金（51505037，61402052，61203233）和长安大学中央高校基本科研业务费专项资金（300102328204，300102328501，310832173702）资助 |
| 通讯作者:
Email： |
| 作者简介: 黄鹤(1979-),长安大学副教授、博士后,主要从事信息融合、图像处理等研究。
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| 作者相关文章 |
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| 黄鹤 在本刊中的所有文章 |
| 宋京 在本刊中的所有文章 |
| 郭璐 在本刊中的所有文章 |
| 王萍 在本刊中的所有文章 |
| 王会峰 在本刊中的所有文章 |
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