Image Dehazing Based on Sky-Constrained Dark Channel Prior

XIAO Jin-sheng; GAO Wei; ZOU Bai-yu; YAO Yuan; ZHANG Yong-qin

doi:10.3969/j.issn.0372-2112.2017.02.012

您当前的位置：

首页 >

文章列表页 >

Image Dehazing Based on Sky-Constrained Dark Channel Prior

更新时间：2025-07-16

- Image Dehazing Based on Sky-Constrained Dark Channel Prior
- Acta Electronica Sinica Vol. 45, Issue 2, Pages: 346-352(2017)
- 作者机构：
  
  1. 武汉大学电子信息学院,湖北,武汉,430072
  2. 华中师范大学物理科学与技术学院,湖北,武汉,430079
  3. 西北大学信息科学与技术学院,陕西,西安,710127
  4. 武汉大学电子信息学院,湖北,武汉,430072
  5. 华中师范大学物理科学与技术学院,湖北,武汉,430079
  6. 西北大学信息科学与技术学院,陕西,西安,710127
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2017.02.012
  CLC： TP391
- Published Online：25 February 2017，
  
  Published：2017
- 稿件说明：
移动端阅览
XIAO Jin-sheng, GAO Wei, ZOU Bai-yu, et al. Image Dehazing Based on Sky-Constrained Dark Channel Prior[J]. Acta Electronica Sinica, 2017, 45(2): 346-352.
DOI：

XIAO Jin-sheng, GAO Wei, ZOU Bai-yu, et al. Image Dehazing Based on Sky-Constrained Dark Channel Prior[J]. Acta Electronica Sinica, 2017, 45(2): 346-352. DOI： 10.3969/j.issn.0372-2112.2017.02.012.

摘要

针对现有暗通道图像去雾算法存在的天空色彩失真，景物边缘光晕效应等问题，本文提出了基于暗通道理论的改进去雾算法.由于暗原色先验理论不适用于天空区域，本文将引导滤波用于天空区域的细化分割，准确估计包含天空区域图像的大气光照强度，解决了天空色彩失真问题；其次，利用中值滤波得到详细边缘信息，进而得到更为清晰的透射率，有效抑制了景物边缘光晕问题；最后针对去雾后图像偏暗的问题，在HSV空间对亮度分量V通道进行增强处理.实验结果表明，针对带雾图像，本文算法能够有效地去雾，改善天空区域色彩失真以及景物边缘光晕问题.

Abstract

An improved image dehazing algorithm based on dark channel prior is proposed to overcome the color distortion of sky and halo effects.The guided filter is utilized to segment the sky area finely to avoid the sky color distortion

since the defect of the classical dark channel prior theory.The global atmospheric light of image in sky region is estimated accurately.In addition

the detailed edge information can be got by taking advantage of median filter technique.So more effective transmission map estimation will be achieved which effectively inhibited the halo.Last

because the brightness of image after haze removal is lower than the actual scene

histogram equalization is used for channel V of the HSV color space.The experiment results show that.the proposed method can not only restore the clean scene from hazy images effectively

but also avoid color distortion of the sky region and halo artifacts.

关键词

Keywords

references

Views

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

XU Wan-chun

ZHANG Yan

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