Image defogging algorithm based on YUV color model and guided filtering

Xi-qin HE; Dong-dong CHEN

doi:10.37188/CJLCD.2020-0313

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Image defogging algorithm based on YUV color model and guided filtering

Image Processing | 更新时间：2021-08-05

- Image defogging algorithm based on YUV color model and guided filtering
- Chinese Journal of Liquid Crystals and Displays Vol. 36, Issue 8, Pages: 1166-1173(2021)
- 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：
- 基金信息：
  
  Research Project for Middle-aged and Young Teachers of Fujian Province(JAT190888);Research Project for Middle-aged and Young Teachers of Fujian Province(JAT200739);Science and Technology Project of Quanzhou City(2019CT003)
- DOI：10.37188/CJLCD.2020-0313
  CLC： TP391.41
- Received：22 November 2020，
  
  Revised：14 January 2021，
  
  Published：2021-08
- 稿件说明：
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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：

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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Related Institution

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