A Fast Effective Single Image Dehazing Algorithm

LIU Jie-ping; HUANG Bing-kun; WEI Gang

doi:10.3969/j.issn.0372-2112.2017.08.013

您当前的位置：

首页 >

文章列表页 >

A Fast Effective Single Image Dehazing Algorithm

更新时间：2025-07-16

- A Fast Effective Single Image Dehazing Algorithm
- Acta Electronica Sinica Vol. 45, Issue 8, Pages: 1896-1901(2017)
- 作者机构：
  
  华南理工大学电子与信息学院,广东,广州,510640
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61327005);Program of National Engineering and Technology Research Center (No.2013FU125X02);Program fo Guangdong Provincial Key Laboratory of Short-Range Wireless Detection and Communication (No.2014B030301010)
- DOI：10.3969/j.issn.0372-2112.2017.08.013
  CLC： TP391.4
- Published Online：25 August 2017，
  
  Published：2017
- 稿件说明：
移动端阅览
LIU Jie-ping, HUANG Bing-kun, WEI Gang. A Fast Effective Single Image Dehazing Algorithm[J]. Acta Electronica Sinica, 2017, 45(8): 1896-1901.
DOI：

LIU Jie-ping, HUANG Bing-kun, WEI Gang. A Fast Effective Single Image Dehazing Algorithm[J]. Acta Electronica Sinica, 2017, 45(8): 1896-1901. DOI： 10.3969/j.issn.0372-2112.2017.08.013.

摘要

为了解决基于暗原色先验的单幅图像去雾算法运行效率低，以及去雾后在图像的明亮灰白区域存在图像色彩失真的问题，提出一种快速有效的单幅图像去雾算法.该算法基于HSI色彩空间进行粗略的透射率以及大气光的估计；然后，用导向滤波对粗略的透射率进行平滑，再利用阈值法对灰白明亮区域的透射率进行修正，得到最终的透射率；最后，进行色彩调整得到复原图像.实验结果表明，本文算法具有很高的运行效率，能有效提高复原图像的清晰度和对比度.

Abstract

A fast and effective single image dehazing algorithm is proposed in order to solve the problems of low efficiency and the color distortion of the bright grey areas after dehazing algorithm of using dark channel prior.First

the algorithm estimates the rough transmittance and the atmospheric light based on HSI color space.Then

the final transmittance is generated after smoothing the rough transmittance by guided filter and correcting the transmittance of the bright grey areas by a threshold method.Finally

tone mapping are used to get the restored image.Experiments show that the proposed algorithm has high efficiency

which can effectively improve the visibility and contrast of the restored image.

关键词

Keywords

references

Views

644

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Cross-Layer Attention Feature Interaction and Multi-Scale Channel Attention Network for Single Image Dehazing

Image Dehazing Based on Gradient Guided Polarization Degree Estimation

Outdoor Image Dehazing Based on Multi-Order Channel Attention Calibration Using a Dual-Discriminator Heterogeneous CycleGAN Framework

Dual Attention-Guided Detail and Structure Information Fusion Network for Image Dehazing

An Improved Dark Channel Prior Dehazing Algorithm Based on Superpixel Image Segmentation

Related Author

WAN Jun

YU Mei

DAN Zhi-ping

LI Bo-hui

FU Qiu-yue

SUN Hang

LI Shun

LING Feng

Related Institution

School of Information and Safety Engineering, Zhongnan University of Economics and Law

Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University

College of Computer and Information Technology, China Three Gorges University

College of Electronic Science and Technology， National University of Defense Technology

Academy of Military Science

⁰