Image dehazing based on triangle loop dichotomy algorithm

Hong-dan GUO

doi:10.3788/YJYXS20193401.0090

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Image dehazing based on triangle loop dichotomy algorithm

Image Processing | 更新时间：2020-07-05

- Image dehazing based on triangle loop dichotomy algorithm
- Chinese Journal of Liquid Crystals and Displays Vol. 34, Issue 1, Pages: 90-97(2019)
- 作者机构：
  
  永城职业学院电子信息工程系, 河南永城 476600
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20193401.0090
  CLC： TP391
- Received：11 July 2018，
  
  Accepted：17 October 2018，
  
  Published：2019-02
- 稿件说明：
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Hong-dan GUO. Image dehazing based on triangle loop dichotomy algorithm[J]. Chinese journal of liquid crystals and displays, 2019, 34(1): 90-97.
DOI：

Hong-dan GUO. Image dehazing based on triangle loop dichotomy algorithm[J]. Chinese journal of liquid crystals and displays, 2019, 34(1): 90-97. DOI： 10.3788/YJYXS20193401.0090.

摘要

为了提高图像去雾效果，采用三角形循环二分算法处理图像。首先分析基本暗通道算法图像去雾；接着基于三角形循环二分算法对大气光值精确计算，将图像沿对角线分成4个三角形区域，只对雾浓度最较高的区域进行二分图形划分，选取三角形最长边的中点，连接到对应三角形最长边的顶点，循环执行直到满足预先设定的面积阈值；然后自适应调节透射率，避免色彩失真；最后给出了算法流程。实验仿真显示，本文算法去雾后的图像在视觉上更加清晰，可见边集合数目比、平均梯度比值、直方图相似度系数、综合评价指标相比其他算法较好，能够满足图像去雾对清晰度、信息量的要求。

Abstract

In order to improve the quality of image dehazing

the triangle loop dichotomy algorithm is presented. Firstly

the dark channel prior is used to analyze the image dehazing. Secondly

using triangle loop dichotomy algorithm

the atmospheric light value is calculated accurately

the hazing image is divided into four triangular areas along the diagonal line

and the supreme hazing area is dichotomized only

which is selected the midpoint and connected the vertex of the longest side. The cycle execution is ended until satisfying the preset threshold. Thirdly

the adaptive transmission is made to avoid the color distortion. Finally

the algorithm process was given. The simulation results show that the triangle loop dichotomy algorithm is more clear in visual perception after image dehazing

number of edge sets

average gradient

the histogram similarity coefficient and the comprehensive evaluation index are better than other algorithms. It can satisfy the requirements of image clearness and information.

关键词

Keywords

references

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Related Institution

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College of Electronic and Information Engineering， Changchun University of Science and Technology

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