基于天空约束暗通道先验的图像去雾

doi:10.3969/j.issn.0372-2112.2017.02.012

电子学报 ›› 2017, Vol. 45 ›› Issue (2): 346-352.DOI: 10.3969/j.issn.0372-2112.2017.02.012

基于天空约束暗通道先验的图像去雾

肖进胜¹, 高威¹, 邹白昱¹, 姚远², 章勇勤³

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

收稿日期:2015-09-09 修回日期:2015-12-21 出版日期:2017-02-25 发布日期:2017-02-25
通讯作者: 肖进胜
作者简介:高威,男,1991年5月出生于湖北枣阳,武汉大学电子信息学院硕士生、主要研究方向、视频图像处理.E-mail:w_gao@whu.edu.cn;邹白昱,男,1993年9月出生于湖北武汉,武汉大学电子信息学院硕士生,主要研究方向:视频图像处理;姚远,男,1974年生,工学博士,博士后,华中师范大学物理科学与技术学院副教授,硕士生导师,主要从事信息处理、嵌入式系统应用等领域的研究;章勇勤,男,1984年生,工学博士,博士后,西北大学信息科学与技术学院讲师,硕士生导师,主要从事图像处理、图像复原等领域的研究.
基金资助:
国家自然科学基金（No.61471272）；湖北省自然科学基金（No.2016CFB499）

Image Dehazing Based on Sky-Constrained Dark Channel Prior

XIAO Jin-sheng¹, GAO Wei¹, ZOU Bai-yu¹, YAO Yuan², ZHANG Yong-qin³

1. School of Electronic Information, Wuhan University, Wuhan, Hubei 430072, China;
2. College of Physical Science and Technology, Central China Normal University, Wuhan, Hubei 430079, China;
3. School of Information Science and Technology, Northwest University, Xi'an, Shaanxi 710127, China

Received:2015-09-09 Revised:2015-12-21 Online:2017-02-25 Published:2017-02-25

摘要/Abstract

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.

关键词: 图像去雾, 暗通道, 天空分割, 引导滤波

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.

Key words: image dehazing, dark channel prior, sky segment, guided filter

中图分类号:

TP391

肖进胜, 高威, 邹白昱, 姚远, 章勇勤. 基于天空约束暗通道先验的图像去雾[J]. 电子学报, 2017, 45(2): 346-352.

XIAO Jin-sheng, GAO Wei, ZOU Bai-yu, YAO Yuan, ZHANG Yong-qin. Image Dehazing Based on Sky-Constrained Dark Channel Prior[J]. Acta Electronica Sinica, 2017, 45(2): 346-352.

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基于天空约束暗通道先验的图像去雾

Image Dehazing Based on Sky-Constrained Dark Channel Prior

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