Optimized dehazing method based on dark channel prior

WANG Xin; SUN Ying-ying; MENG Jian

doi:10.3788/YJYXS20163105.0506

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Optimized dehazing method based on dark channel prior

Display and Image | 更新时间：2020-08-12

- Optimized dehazing method based on dark channel prior
- Chinese Journal of Liquid Crystals and Displays Vol. 31, Issue 5, Pages: 506-510(2016)
- 作者机构：
  
  长春工业大学计算机科学与工程学院,吉林长春,130012
- 作者简介：
- 基金信息：
  
  Supported by Jilin Province Education Department "Twelfth Five-Year"Sc
- DOI：10.3788/YJYXS20163105.0506
  CLC： TP317.4
- Received：08 October 2015，
  
  Revised：17 December 2015，
  
  Published：05 May 2016
- 稿件说明：
移动端阅览
王昕, 孙莹莹, 孟健. 基于暗通道先验的图像去雾优化算法[J]. 液晶与显示, 2016,31(5): 506-510

WANG Xin, SUN Ying-ying, MENG Jian. Optimized dehazing method based on dark channel prior[J]. , 2016,31(5): 506-510
王昕, 孙莹莹, 孟健. 基于暗通道先验的图像去雾优化算法[J]. 液晶与显示, 2016,31(5): 506-510 DOI： 10.3788/YJYXS20163105.0506.

WANG Xin, SUN Ying-ying, MENG Jian. Optimized dehazing method based on dark channel prior[J]. , 2016,31(5): 506-510 DOI： 10.3788/YJYXS20163105.0506.

摘要

暗通道先验算法虽然在单幅图像去雾方面取得了一定的效果

但是该算法运行时间较长

另外对环境光的计算不太准确

不适用于天空区域

会导致复原图像色彩失真、亮度偏暗。针对这些缺陷

本文提出一种改进的White Patch Retinex算法

对原有图像去雾算法进行优化。首先

通过改进的White Patch Retinex算法计算出环境光。其次通过暗通道先验算法获得透射率。最后根据得到的环境光和透射率

求解大气散射模型

从而得到去雾后的图像。实验结果表明

该算法不仅运行时间较短

对分辨率为600800的图像处理时间平均为5 s左右

且能解决天空区域失真问题

去雾后的图像具有较高的亮度和对比度。

Abstract

Although the dark channel prior algorithm is effective to some extent for single image dehazing

the algorithm has some disadvantages of running a long time. Besides

the calculation of environmental light is not very accurate

and not suitable for the sky area

which can lead to the color distortion and dim brightness for the restoration image. Aiming at theses hortcomings

this paper presents an optimization algorithm. Firstly

the environmental light is calculated by the improved White Patch Retinex algorithm. Secondly

the transmittance is obtained based on the dark channel prior. Finally

according to the atmospheric scattering model

the final haze-free images are obtained. Experimental results show that the proposed algorithm has a shorter running time. The average processing time of the image (600800 pixel) is about 5 s.The problem of color distortion for the sky area can be well solved.After defogging

the image has high brightness and contrast.

关键词

Keywords

references

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