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基于非局部全变分正则化优化的单幅雾天图像恢复新方法

何人杰 樊养余 WANGZhiyong FENGDavid

何人杰, 樊养余, WANGZhiyong, FENGDavid. 基于非局部全变分正则化优化的单幅雾天图像恢复新方法[J]. 电子与信息学报, 2016, 38(10): 2509-2514. doi: 10.11999/JEIT160208
引用本文: 何人杰, 樊养余, WANGZhiyong, FENGDavid. 基于非局部全变分正则化优化的单幅雾天图像恢复新方法[J]. 电子与信息学报, 2016, 38(10): 2509-2514. doi: 10.11999/JEIT160208
HE Renjie, FAN Yangyu, WANG Zhiyong, FENG David. Novel Single Hazy Image Restoration Method Based on Nonlocal Total Variation Regularization Optimization[J]. Journal of Electronics and Information Technology, 2016, 38(10): 2509-2514. doi: 10.11999/JEIT160208
Citation: HE Renjie, FAN Yangyu, WANG Zhiyong, FENG David. Novel Single Hazy Image Restoration Method Based on Nonlocal Total Variation Regularization Optimization[J]. Journal of Electronics and Information Technology, 2016, 38(10): 2509-2514. doi: 10.11999/JEIT160208

基于非局部全变分正则化优化的单幅雾天图像恢复新方法

doi: 10.11999/JEIT160208
基金项目: 

国家自然科学基金(61420106007),陕西省科技统筹创新项目

Novel Single Hazy Image Restoration Method Based on Nonlocal Total Variation Regularization Optimization

Funds: 

The National Natural Science Foundation of China (61420106007), Shaanxi Science Technology Co-ordination Innovation Project

  • 摘要: 该文针对无雾图像具有高灰度对比度且大气遮罩局部平滑的特性,提出一种基于非局部全变分正则化优化的单幅雾天图像恢复新方法。先构建一种基于非局部全变分正则化的有约束优化算法对大气遮罩进行估计,然后通过优化Bregman分离迭代法求解非局部Rudin-Osher-Fatemi模型获得准确的大气遮罩,进而从雾天场景图像恢复出场景图像。实验结果表明,所提新方法可以有效地对雾天降质图像进行复原,对多纹理复杂区域的恢复效果也较好。
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出版历程
  • 收稿日期:  2016-03-07
  • 修回日期:  2016-07-14
  • 刊出日期:  2016-10-19

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