Improved haze removal algorithm based on tolerance mechanism

Chang-lai GONG; Cong LUO

doi:10.3788/YJYXS20163111.1098

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Improved haze removal algorithm based on tolerance mechanism

Display and Image | 更新时间：2020-08-12

- Improved haze removal algorithm based on tolerance mechanism
- Chinese Journal of Liquid Crystals and Displays Vol. 31, Issue 11, Pages: 1098-1104(2016)
- 作者机构：
  
  嘉应学院电子信息工程学院, 广东梅州 514015
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20163111.1098
  CLC： TP391
- Received：08 June 2016，
  
  Accepted：18 July 2016，
  
  Published：2016-11
- 稿件说明：
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Chang-lai GONG, Cong LUO. Improved haze removal algorithm based on tolerance mechanism[J]. Chinese journal of liquid crystals and displays, 2016, 31(11): 1098-1104.
DOI：

Chang-lai GONG, Cong LUO. Improved haze removal algorithm based on tolerance mechanism[J]. Chinese journal of liquid crystals and displays, 2016, 31(11): 1098-1104. DOI： 10.3788/YJYXS20163111.1098.

摘要

针对经典容差机制图像去雾算法存在的对部分明亮区域透射率提升力度不够，难以彻底消除色彩失真问题，本文提出一种改进算法。将原算法中对明亮区域透射率根据容差进行双曲线提升修正变为线性提升修正，使透射率平稳提升，并适当增大了透射率提升力度，有效消除色彩失真。以方差和色调还原度作为图像去雾的客观质量评测指标，与暗原色先验算法和经典容差机制算法进行对比实验。实验结果表明，本文算法在改善明亮区域色彩失真及提高图像去雾效果方面优于对比算法。

Abstract

In view of the problem that exists in the classic tolerance mechanism image haze removal algorithm

the efforts to enhance the transmission of the bright region is not enough

it is difficult to completely eliminate the color distortion

an improved algorithm is proposed herein. For the bright region transmission

according to the tolerance

hyperbolic type enhancement is adopted in the original algorithm

while linear enhancement correction is used in this paper

which makes the transmission enhance steadily. The effort to enhance the transmission is appropriately increased

thus the color distortion is effectively eliminated. Variance and color reduction degree are used as objective quality evaluation index for image haze removal. Compared with the dark channel prior algorithm and the classic tolerance mechanism algorithm

the proposed algorithm is superior to the contrast algorithms in improving the color distortion of the bright region and improving the image haze removal.

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references

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