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结合最小颜色通道图与传播滤波的单幅图像去雾算法研究

汤红忠 张小刚 朱玲 陈华 王翔 李骁

通信学报2017,Vol.38Issue(1):26-34,9.
通信学报2017,Vol.38Issue(1):26-34,9.DOI:10.11959/j.issn.1000-436x.2017004

结合最小颜色通道图与传播滤波的单幅图像去雾算法研究

Study of single image dehazing algorithm based on propagated filtering and minimum color channels

汤红忠 1张小刚 2朱玲 3陈华 1王翔 2李骁3

作者信息

  • 1. 湖南大学电气与信息工程学院,湖南长沙 410082
  • 2. 湘潭大学信息工程学院,湖南湘潭 411105
  • 3. 湘潭大学控制工程研究所,湖南湘潭 411105
  • 折叠

摘要

Abstract

To solve the challenging problem that the edge regions of image have some remained hazes and blackspots, a novel image dehazing algorithm was proposed based on the minimal color channel and propagated filtering. Firstly, an initial atmospheric transmission map was obtained by double-area filtering, then a minimal channel color was introduced as a reference image, and the propagated filtering was combined to optimize the initial atmospheric transmission map. Optimized transmission have the similar edge characteristics as the referenced image, so the deviation of transmission es-timation can be effectively avoided for the edge pixels in the depth mutated regions, and the redundant texture informa-tion were removed in the initial transmission map. Finally, L-BFGS was used to restore atmospheric light, and the haze-free image can be recovered based on the atmospheric scattering model. Experimental results show that proposed algorithm has the more accurate transmission estimation for the depth mutated edge regions of image, so the recovered image effectively preserves the edges and details in the depth mutated regions, and has better spatial smoothness in the uniform depth regions. The recovered haze-free image with proposed method has a better sharpness and richer color degree.

关键词

初始透射率/最小颜色通道图/传播滤波/透射率优化

Key words

initial transmission map/minimum color channel/propagated filtering/transmission optimization

分类

信息技术与安全科学

引用本文复制引用

汤红忠,张小刚,朱玲,陈华,王翔,李骁..结合最小颜色通道图与传播滤波的单幅图像去雾算法研究[J].通信学报,2017,38(1):26-34,9.

基金项目

国家自然科学基金资助项目(No.61573299, No.61673162, No.61672216, No.61602397) (No.61573299, No.61673162, No.61672216, No.61602397)

湖南省教育厅基金资助项目(No.15C1328) The National Natural Science Foundation of China (No.61573299, No.61673162, No.61672216, No.61602397), Scientific Research Project of Hunan Province Education Department (No.15C1328) (No.15C1328)

通信学报

OA北大核心CSCDCSTPCD

1000-436X

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