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一种结合双区域滤波和图像融合的单幅图像去雾算法

张小刚 唐美玲 陈华 汤红忠

张小刚, 唐美玲, 陈华, 汤红忠. 一种结合双区域滤波和图像融合的单幅图像去雾算法. 自动化学报, 2014, 40(8): 1733-1739. doi: 10.3724/SP.J.1004.2014.01733
引用本文: 张小刚, 唐美玲, 陈华, 汤红忠. 一种结合双区域滤波和图像融合的单幅图像去雾算法. 自动化学报, 2014, 40(8): 1733-1739. doi: 10.3724/SP.J.1004.2014.01733
ZHANG Xiao-Gang, TANG Mei-Ling, CHEN Hua, TANG Hong-Zhong. A Dehazing Method in Single Image Based on Double-area Filter and Image Fusion. ACTA AUTOMATICA SINICA, 2014, 40(8): 1733-1739. doi: 10.3724/SP.J.1004.2014.01733
Citation: ZHANG Xiao-Gang, TANG Mei-Ling, CHEN Hua, TANG Hong-Zhong. A Dehazing Method in Single Image Based on Double-area Filter and Image Fusion. ACTA AUTOMATICA SINICA, 2014, 40(8): 1733-1739. doi: 10.3724/SP.J.1004.2014.01733

一种结合双区域滤波和图像融合的单幅图像去雾算法

doi: 10.3724/SP.J.1004.2014.01733
基金项目: 

国家自然科学基金(61174050,61203016)资助

详细信息
    作者简介:

    张小刚 湖南大学电气与信息工程学院教授. 主要研究方向为工业窑炉过程控制与模式识别.E-mail:zhangxiaogang@126.com

    通讯作者:

    陈华 湖南大学信息科学与工程学院讲师. 主要研究方向为图像处理与模式识别.E-mail:anneychen@126.com

A Dehazing Method in Single Image Based on Double-area Filter and Image Fusion

Funds: 

Supported by National Natural Science Foundation of China (61174050, 61203016)

  • 摘要: 基于大气散射物理模型和暗原色先验原理,提出一种结合 双区域滤波和图像融合的单幅图像去雾算法.首先在计算暗通道函数时,定义了一类暗区 域对图像边缘的低强度像素点进行描述,该区域像素点的暗原色中值取其三原色通道的最小值,以代替原来的中值滤波运算值.此滤波方法不仅能有效去除Halo效应,而且避免了黑斑效应;然后基 于大气散射物理模型定义一种伪去雾图,将其与原去雾图进行像素级融合对原图进行色度校正,实 现了柔性去雾,改善了现有方法易出现过去雾的缺陷.实验结果表明,该算法去雾后图像具有较好清 晰度及色彩恢复度,去雾鲁棒性强.在大雾和图像色彩失真严重的情况下,仍可有效恢复图像.
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出版历程
  • 收稿日期:  2013-04-17
  • 修回日期:  2013-12-09
  • 刊出日期:  2014-08-20

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