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基于暗通道先验和Retinex理论的快速单幅图像去雾方法

刘海波 杨杰 张庆年 邓勇

刘海波, 杨杰, 张庆年, 邓勇, . 基于暗通道先验和Retinex理论的快速单幅图像去雾方法. 自动化学报, 2015, 41(7): 1264-1273. doi: 10.16383/j.aas.2015.c140748
引用本文: 刘海波, 杨杰, 张庆年, 邓勇, . 基于暗通道先验和Retinex理论的快速单幅图像去雾方法. 自动化学报, 2015, 41(7): 1264-1273. doi: 10.16383/j.aas.2015.c140748
LIU Hai-Bo, YANG Jie, WU Zheng-Ping, ZHANG Qing-Nian, DENG Yong. A Fast Single Image Dehazing Method Based on Dark Channel Prior and Retinex Theory. ACTA AUTOMATICA SINICA, 2015, 41(7): 1264-1273. doi: 10.16383/j.aas.2015.c140748
Citation: LIU Hai-Bo, YANG Jie, WU Zheng-Ping, ZHANG Qing-Nian, DENG Yong. A Fast Single Image Dehazing Method Based on Dark Channel Prior and Retinex Theory. ACTA AUTOMATICA SINICA, 2015, 41(7): 1264-1273. doi: 10.16383/j.aas.2015.c140748

基于暗通道先验和Retinex理论的快速单幅图像去雾方法

doi: 10.16383/j.aas.2015.c140748
基金项目: 

国家自然科学基金(51479159),交通运输部软科学项目(2013-322-811-470)资助

详细信息
    作者简介:

    杨杰武汉理工大学信息工程学院教授. 主要研究方向为图像处理, 信息隐藏,密码学和多媒体通信.E-mail: jieyang509@163.com

A Fast Single Image Dehazing Method Based on Dark Channel Prior and Retinex Theory

Funds: 

Supported by National Natural Science Foundation of China (51479159) and Soft Science Project of China's Ministry of Transport (2013-322-811-470)

  • 摘要: 针对雾霾天气下捕获的图像存在低对比度、低饱和度和色调偏移等现象, 提出了一种基于暗通道先验和Retinex理论的快速单幅图像去雾方法.该方法从大气散射模型出发, 利用暗通道先验法则,通过灰度开运算对大气光值进行区间估计,同时获得介质传输率的初始估计, 并通过白平衡简化大气散射模型; 其次,基于Retinex理论,利用高斯滤波获得介质传输率的粗略估计, 并通过线性映射实现灰度值搬移; 然后,将介质传输率的初始估计和粗略估计进行像素级融合, 利用快速联合双边滤波进行边缘优化,同时通过参数自适应调整的方法对雾图中大片天空区域的介质传输 率进行修正; 最后,通过简化大气散射模型和色调调整得到复原图像.与几种典型的图像去雾算法相比, 本文算法具有很快的运算速度,能有效提高复原图像的清晰度和对比度,同时获得较好的图像颜色.
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出版历程
  • 收稿日期:  2014-10-28
  • 修回日期:  2015-03-20
  • 刊出日期:  2015-07-20

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