基于YUV颜色模型与导向滤波的图像去雾算法

何惜琴; 陈冬冬

doi:10.37188/CJLCD.2020-0313

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基于YUV颜色模型与导向滤波的图像去雾算法

图像处理 | 更新时间：2021-08-05

- 基于YUV颜色模型与导向滤波的图像去雾算法
- Image defogging algorithm based on YUV color model and guided filtering
- 液晶与显示 2021年36卷第8期页码：1166-1173
- 作者机构：
  
  闽南理工学院电子与电气工程学院, 福建泉州 362700
- 作者简介：
  
  [ "何惜琴(1985-), 女, 福建漳州人, 硕士, 讲师, 2015年于华侨大学获得硕士学位, 主要从事数字图像处理方面的研究。E-mail:405341751@qq.com" ]
  [ "陈冬冬(1991-), 男, 福建南安人, 博士, 副教授, 2018年于浙江大学获得博士学位, 主要从事工业自动化控制技术与信息处理方面的研究。E-mail: 1911cdd@qq.com" ]
- 基金信息：
  
  福建省教育厅中青年教师科研项目(JAT190888);福建省教育厅中青年教师科研项目(JAT200739);泉州市高层次人才团队(2019CT003)
- DOI：10.37188/CJLCD.2020-0313
  中图分类号： TP391.41
- 收稿日期：2020-11-22，
  
  修回日期：2021-01-14，
  
  纸质出版日期：2021-08
- 稿件说明：
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何惜琴, 陈冬冬. 基于YUV颜色模型与导向滤波的图像去雾算法[J]. 液晶与显示, 2021,36(8):1166-1173.

Xi-qin HE, Dong-dong CHEN. Image defogging algorithm based on YUV color model and guided filtering[J]. Chinese journal of liquid crystals and displays, 2021, 36(8): 1166-1173.
何惜琴, 陈冬冬. 基于YUV颜色模型与导向滤波的图像去雾算法[J]. 液晶与显示, 2021,36(8):1166-1173. DOI： 10.37188/CJLCD.2020-0313.

Xi-qin HE, Dong-dong CHEN. Image defogging algorithm based on YUV color model and guided filtering[J]. Chinese journal of liquid crystals and displays, 2021, 36(8): 1166-1173. DOI： 10.37188/CJLCD.2020-0313.

摘要

针对去雾过程中容易出现色彩过饱和与偏色现象的问题，提出一种基于YUV颜色模型和导向滤波的图像去雾算法。首先分离出含雾图像的亮度分量，结合拉普拉斯锐化算子与导向滤波细化大气光幕，求得准确的透射率之后，对天空区域进行修正；其次根据光幕值的强度信息定位浓雾区域，将该区域平均值作为大气光的估计；最后对色度分量进行补偿，还原真实场景的色彩饱和度。实验结果表明，去雾后图像的边缘强度与颜色保真度得到大幅提升，信息熵、平均梯度和标准差客观评价参数均优于目前主流的算法。该算法去除雾气的效果显著，能满足图像视见度和细节清晰度的需求。

Abstract

Aiming at the problem of color over-saturation and color cast in the process of defogging

an image defogging algorithm based on YUV color model and guided filtering is proposed. Firstly

the brightness component of the fog image is separated

and the atmospheric veil is refined by combining Laplace sharpening operator and guided filtering to obtain the accurate transmittance

and then the sky area is corrected. Secondly

the dense fog area is located according to the intensity information of the atmospheric veil

and the average value in this area is used as the estimation of airlight. Finally

the chromaticity component is compensated to restore the color saturation of the real scene. The experimental results show that the edge intensity and color fidelity of the image after defogging are greatly improved

and the objective evaluation parameters of information entropy

average gradient and standard deviation are better than the current mainstream algorithms. The proposed algorithm demonstrates that the effect of defogging is remarkable

which can meet the requirements of image visibility and detail clarity.

关键词

Keywords

references

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