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雾霾天气下可见光图像场景再现

李权合 毕笃彦 许悦雷 查宇飞

李权合, 毕笃彦, 许悦雷, 查宇飞. 雾霾天气下可见光图像场景再现. 自动化学报, 2014, 40(4): 744-750. doi: 10.3724/SP.J.1004.2014.00744
引用本文: 李权合, 毕笃彦, 许悦雷, 查宇飞. 雾霾天气下可见光图像场景再现. 自动化学报, 2014, 40(4): 744-750. doi: 10.3724/SP.J.1004.2014.00744
LI Quan-He, BI Du-Yan, XU Yue-Lei, ZHA Yu-Fei. Haze Degraded Image Scene Rendition. ACTA AUTOMATICA SINICA, 2014, 40(4): 744-750. doi: 10.3724/SP.J.1004.2014.00744
Citation: LI Quan-He, BI Du-Yan, XU Yue-Lei, ZHA Yu-Fei. Haze Degraded Image Scene Rendition. ACTA AUTOMATICA SINICA, 2014, 40(4): 744-750. doi: 10.3724/SP.J.1004.2014.00744

雾霾天气下可见光图像场景再现

doi: 10.3724/SP.J.1004.2014.00744
基金项目: 

国家自然科学基金(61175029,61372167,61379104)资助

详细信息
    作者简介:

    毕笃彦 空军工程大学航空航天工程学院教授.1997 年获得法国图尔大学博士学位.主要研究方向为图像处理和模式识别.E-mail:biduyan@126.com

Haze Degraded Image Scene Rendition

Funds: 

Supported by National Natural Science Foundation of China (61175029, 61372167, 61379104)

  • 摘要: 为了再现雾霾天气下可见光图像的清晰场景,有效抑制雾霾退化造成的对比度、清晰度下降,提出了单色大气散射模型新的求解方法. 首先,将单色大气散射模型类比Retinex模型,重新解释了大气传递图;依据大气传递图的先验知识和几点假设,建立目标函数的变分模型,将大气传递图的估计问题转化为二次规划问题. 通过带约束的归一化最速下降法获取最优解,并采用多分辨率技术加速计算;在HSI空间的亮度分量上反解单色大气散射模型,得到反射图像,并依据大气传递图自适应校正饱和度分量. 实验结果表明,新算法可有效去除雾霾,再现真实场景的对比度和清晰度,同现有去雾算法相比,本文算法取得了相似甚至更好的去雾效果.
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出版历程
  • 收稿日期:  2012-07-04
  • 修回日期:  2013-08-19
  • 刊出日期:  2014-04-20

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