Single Image Dehazing Method Based on Scene Depth Constraint

NAN Dong; BI Du-yan; MA Shi-ping; HE Lin-yuan; LOU Xiao-long

doi:10.3969/j.issn.0372-2112.2015.03.013

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Single Image Dehazing Method Based on Scene Depth Constraint

更新时间：2025-07-16

- Single Image Dehazing Method Based on Scene Depth Constraint
- Acta Electronica Sinica Vol. 43, Issue 3, Pages: 500-504(2015)
- 作者机构：
  
  空军工程大学航空航天工程学院,陕西,西安,710038
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2015.03.013
  CLC： TP391
- Published：2015
- 稿件说明：
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NAN Dong, BI Du-yan, MA Shi-ping, et al. Single Image Dehazing Method Based on Scene Depth Constraint[J]. Acta Electronica Sinica, 2015, 43(3): 500-504.
DOI：

NAN Dong, BI Du-yan, MA Shi-ping, et al. Single Image Dehazing Method Based on Scene Depth Constraint[J]. Acta Electronica Sinica, 2015, 43(3): 500-504. DOI： 10.3969/j.issn.0372-2112.2015.03.013.

摘要

本文提出一种基于景深约束的单幅雾天图像去雾算法

该算法首先对退化模型进行变换以满足Kimmel变分框架的要求;其次

考虑到人眼视网膜锥细胞对绿光的敏感性

将绿光分量作为大气传输图变分求解模型的输入;最后

利用景深图像特性

在8邻域快速求解中对能量函数进行约束

从而有效提升去雾图像的视觉效果.实验结果表明本文算法在获得最佳去雾效果的同时

具有较好的实用性和较少的计算资源消耗.

Abstract

We propose a single image dehazing method based on scene depth constraint.Firstly

the initial degradation model is transformed to meet the Kimmel's variational model.Then

considering the sensitivity of the cone in human's retina to the green light

we use it as an input of the variational model of the atmospheric transmission map.Finally

in the 8-neighborhood fast solving we constrain the energy function by scene depth

so as to improve the visual effect of the result efficiently.Experiments demonstrate that the proposed method can effectively remove fog

provide good practicability and take less memory consumption.

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