暗通道融合亮通道优化的夜间图像去雾算法

李鹏飞; 何小海; 卿粼波; 石伟; 吴小强

doi:10.37188/CJLCD.2020-0208

您当前的位置：

首页 >

文章列表页 >

暗通道融合亮通道优化的夜间图像去雾算法

图像处理 | 更新时间：2021-04-02

- 暗通道融合亮通道优化的夜间图像去雾算法
- Nighttime dehazing algorithm of dark channel and bright channel fusion optimization
- 液晶与显示 2021年36卷第4期页码：596-604
- 作者机构：
  
  1.四川大学电子信息学院, 四川成都 610065
  2.中国民航局第二研究所, 四川成都 610000
- 作者简介：
  
  [ "李鹏飞(1988-), 男, 河南新乡人, 硕士研究生, 2011年于怀化学院获得学士学位, 主要从事图像处理与网络通信方面的研究。E-mail:897728263@qq.com" ]
  [ "何小海(1964-), 男, 四川绵阳人, 教授, 2002年于四川大学获得博士学位, 主要从事图像处理与网络通信、机器视觉与智能系统方面的研究。E-mail: hxh@scu.edu.cn" ]
- 基金信息：
  
  成都市产业集群协同创新项目(2016-XT00-00015-GX);四川省科技计划项目(2018HH0143)
- DOI：10.37188/CJLCD.2020-0208
  中图分类号： TP391.41
- 收稿日期：2020-08-19，
  
  修回日期：2020-10-30，
  
  纸质出版日期：2021-04
- 稿件说明：
移动端阅览
李鹏飞, 何小海, 卿粼波, 等. 暗通道融合亮通道优化的夜间图像去雾算法[J]. 液晶与显示, 2021,36(4):596-604.

Peng-fei LI, Xiao-hai HE, Lin-bo QING, et al. Nighttime dehazing algorithm of dark channel and bright channel fusion optimization[J]. Chinese journal of liquid crystals and displays, 2021, 36(4): 596-604.
李鹏飞, 何小海, 卿粼波, 等. 暗通道融合亮通道优化的夜间图像去雾算法[J]. 液晶与显示, 2021,36(4):596-604. DOI： 10.37188/CJLCD.2020-0208.

Peng-fei LI, Xiao-hai HE, Lin-bo QING, et al. Nighttime dehazing algorithm of dark channel and bright channel fusion optimization[J]. Chinese journal of liquid crystals and displays, 2021, 36(4): 596-604. DOI： 10.37188/CJLCD.2020-0208.

摘要

夜间有雾环境中拍摄的图片具有光照不均、对比度低且模糊的现象。本文通过分析夜间有雾图像的成像特点，提出一种有效的夜间图像去雾方法。首先，在估计大气光时使用加权差分图像作为参考进行引导滤波来估计含轮廓信息的大气光；使用拉普拉斯锐化灰度图像作为参考引导滤波来估计补充细节的大气光，然后将算出的两种大气光融合得到最终的大气光。最后，基于广泛使用的雾霾场景成像模型，本文算法结合暗通道和亮通道构建了双通道联合优化的透射率函数，在计算透射率的过程中加入了自适应权重系数、限制对比度自适应直方图均衡化和引导滤波来提高透射率函数的精度。实验结果表明，在测试图片上计算的信息熵平均值为7.587 2，对比度均值为23.809 7，和对比算法相比均有一定提升。所提算法去雾结果视觉效果良好，在去雾的同时可以有效减少细节的损失。

Abstract

Images taken in night hazy environment usually have uneven illumination

low contrast and blurry phenomena. By analyzing the imaging characteristics of night hazy images

An effective nighttime dehazing algorithm is proposed in this paper. First

in estimating atmospheric light

weighted channel difference image is used as a reference to conduct guided filtering to estimate atmospheric light containing contour information. A Laplace-sharpened grayscale image is used as a reference to conduct guided filtering to estimate the atmospheric light supplementing the details

and then the two calculated atmospheric lights are combined to obtain the final atmospheric light. Finally

based on the widely used haze scene imaging model

the dark channel and light channel are combined to construct the transmission function of dual channel joint optimization

and in the process of estimating transmittance

adaptive weight coefficient

contrast limited adaptive histogram equalization and guided filtering are added to improve the accuracy of transmittance function. The experimental results show that the average information entropy calculated on the test pictures is 7.587 2

and the average contrast is 23.809 7

which are better than the comparison algorithms. The dehazing results of the proposed algorithm have a good visual effect and can effectively reduce the loss of details.

关键词

Keywords

references

杨爱萍 , 赵美琪 , 王海新 , 等 . 基于低通滤波和多特征联合优化的夜间图像去雾 . 光学学报 , 2018 . 38 ( 10 ): 1010006 https://www.cnki.com.cn/Article/CJFDTOTAL-GXXB201810022.htm https://www.cnki.com.cn/Article/CJFDTOTAL-GXXB201810022.htm .

A P YANG , M Q ZHAO , H X WANG , 等 . Nighttime image dehazing based on low-pass filtering and joint optimization of multi-feature . Acta Optica Sinica , 2018 . 38 ( 10 ): 1010006 https://www.cnki.com.cn/Article/CJFDTOTAL-GXXB201810022.htm https://www.cnki.com.cn/Article/CJFDTOTAL-GXXB201810022.htm .

K M HE , JIAN SUN , X O TANG . Single image haze removal using dark channel prior . IEEE Transactions on Pattern Analysis and Machine Intelligence , 2011 . 33 ( 12 ): 2341 - 2353 . DOI: 10.1109/TPAMI.2010.168 http://doi.org/10.1109/TPAMI.2010.168 .

王凯 , 王延杰 , 樊博 . 基于暗通道先验的图像去雾算法改进 . 液晶与显示 , 2016 . 31 ( 8 ): 840 - 845 . http://cjlcd.lightpublishing.cn/thesisDetails#10.3788/YJYXS20163108.0840 http://cjlcd.lightpublishing.cn/thesisDetails#10.3788/YJYXS20163108.0840 .

K WANG , Y J WANG , B FAN . Improved method for single image dehazing using dark channel prior . Chinese Journal of Liquid Crystals and Displays , 2016 . 31 ( 8 ): 840 - 845 . http://cjlcd.lightpublishing.cn/thesisDetails#10.3788/YJYXS20163108.0840 http://cjlcd.lightpublishing.cn/thesisDetails#10.3788/YJYXS20163108.0840 .

BERMAN D, TREIBITZ T, AVIDAN S. Non-local image dehazing[C]// Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition . Las Vegas, NV: IEEE, 2016: 1674-1682.

ZHANG J, CAO Y, WANG Z F. Nighttime haze removal based on a new imaging model[C]// Proceedings of 2014 IEEE International Conference on Image Processing ( ICIP ). Paris, France: IEEE, 2014: 4557-4561.

LI Y, TAN R T, BROWN M S. Nighttime haze removal with glow and multiple light colors[C]// Proceedings of 2015 IEEE International Conference on Computer Vision (ICCV) . Santiago, Chile: IEEE, 2015: 226-234.

PARK D, HAN D K, KO H. Nighttime image dehazing with local atmospheric light and weighted entropy[C]// Proceedings of 2016 IEEE International Conference on Image Processing ( ICIP ). Phoenix, AZ: IEEE, 2016: 2261-2265.

SANTRA S, CHANDA B. Day/night unconstrained image dehazing[C]// Proceedings of 2016 23 rd International Conference on Pattern Recognition . Cancun, Mexico: IEEE, 2016: 1406-1411.

ZHANG J, CAO Y, FANG S, et al . Fast haze removal for nighttime image using maximum reflectance prior[C]// Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition . Honolulu, HI: IEEE, 2017: 7016-7024.

LIAO Y H, SU Z, LIANG X G, et al . HDP-Net: haze density prediction network for nighttime dehazing[C]// Proceedings of the 19 th Pacific-Rim Conference on Multimedia Pacific Rim Conference on Multimedia . Hefei, China: Springer, 2018: 469-480.

T YU , K SONG , P MIAO , 等 . Nighttime single image dehazing via pixel-wise alpha blending . IEEE Access , 2019 . 7 114619 - 114630 . DOI: 10.1109/ACCESS.2019.2936049 http://doi.org/10.1109/ACCESS.2019.2936049 .

K M HE , J SUN , X O TANG . Guided image filtering . IEEE Transactions on Pattern Analysis and Machine Intelligence , 2013 . 35 ( 6 ): 1397 - 1409 . DOI: 10.1109/TPAMI.2012.213 http://doi.org/10.1109/TPAMI.2012.213 .

TAREL J P, HAUTIÈRE N. Fast visibility restoration from a single color or gray level image[C]// Proceedings of 2009 IEEE 12 th International Conference on Computer Vision . Kyoto: IEEE, 2009: 2201-2208.

B JIANG , H Q MENG , X L MA , 等 . Nighttime image dehazing with modified models of color transfer and guided image filter . Multimedia Tools and Applications , 2018 . 77 ( 3 ): 3125 - 3141 . DOI: 10.1007/s11042-017-4954-9 http://doi.org/10.1007/s11042-017-4954-9 .

Z AL-AMEEN . Nighttime image enhancement using a new illumination boost algorithm . IET Image Processing , 2019 . 13 ( 8 ): 1314 - 1320 . DOI: 10.1049/iet-ipr.2018.6585 http://doi.org/10.1049/iet-ipr.2018.6585 .

C Y TANG , Y WANG , H J FENG , 等 . Low-light image enhancement with strong light weakening and bright halo suppressing . IET Image Processing , 2019 . 13 ( 3 ): 537 - 542 . DOI: 10.1049/iet-ipr.2018.5505 http://doi.org/10.1049/iet-ipr.2018.5505 .

ZUIDERVELD K. Contrast Limited Adaptive Histogram Equalization [M]//HECKBERT P S. Graphics Gems Ⅳ. Boston: AP Professional, 1994: 474-485.

A MITTAL , A K MOORTHY , A C BOVIK . No-reference image quality assessment in the spatial domain . IEEE Transactions on Image Processing , 2012 . 21 ( 12 ): 4695 - 4708 . DOI: 10.1109/TIP.2012.2214050 http://doi.org/10.1109/TIP.2012.2214050 .

A MITTAL , R SOUNDARARAJAN , A C BOVIK . Making a "completely blind" image quality analyzer . IEEE Signal Processing Letters , 2013 . 20 ( 3 ): 209 - 212 . DOI: 10.1109/LSP.2012.2227726 http://doi.org/10.1109/LSP.2012.2227726 .

林剑萍 , 廖一鹏 . 结合分数阶微分及Retinex的NSCT自适应低照度图像增强 . 液晶与显示 , 2020 . 35 ( 4 ): 360 - 373 . http://cjlcd.lightpublishing.cn/thesisDetails#10.3788/YJYXS20203504.0360 http://cjlcd.lightpublishing.cn/thesisDetails#10.3788/YJYXS20203504.0360 .

J P LIN , Y P LIAO . NSCT adaptive low illumination image enhancement combining fractional differential and Retinex . Chinese Journal of Liquid Crystals and Displays , 2020 . 35 ( 4 ): 360 - 373 . http://cjlcd.lightpublishing.cn/thesisDetails#10.3788/YJYXS20203504.0360 http://cjlcd.lightpublishing.cn/thesisDetails#10.3788/YJYXS20203504.0360 .

陈清江 , 张雪 . 混合残差学习与导向滤波算法在图像去雾中的应用 . 光学精密工程 , 2019 . 27 ( 12 ): 2702 - 2712 . https://www.cnki.com.cn/Article/CJFDTOTAL-GXJM201912023.htm https://www.cnki.com.cn/Article/CJFDTOTAL-GXJM201912023.htm .

Q J CHEN , X ZHANG . Application of hybrid residual learning and guided filtering algorithm in image defogging . Optics and Precision Engineering , 2019 . 27 ( 12 ): 2702 - 2712 . https://www.cnki.com.cn/Article/CJFDTOTAL-GXJM201912023.htm https://www.cnki.com.cn/Article/CJFDTOTAL-GXJM201912023.htm .

浏览量

100

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

一种灰度梯度暗通道图像自动调焦方法