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

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

2.
(西北工业大学电子信息学院陕西省信息获取与处理重点实验室西安 710129) ②(悉尼大学信息技术学院悉尼 2006)

基金项目:

国家自然科学基金(61420106007)，陕西省科技统筹创新项目

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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

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

2.
(Shaanxi Key Laboratory of Information Acquisition and Processing, The School of Electronics and Information, Northwestern Polytechnical University, Xi&rsquo

Funds:

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

摘要

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。
- 图像处理 /
- 图像去雾 /
- 对比度增强 /
- 正则化优化
Abstract: Based on the property that the scene radiance is of high contrast and the atmospheric veil is locally smooth, a novel single hazy image restoration method based on nonlocal total variation regularization optimization is proposed in this paper. In order to obtain the atmospheric veil of a hazy image, a constrained nonlocal total variation regularization is firstly applied. Then, the accurate atmospheric veil is estimated using a nonlocal Rudin- Osher-Fatemi model, which is solved by a modified split Bregman method. Experimental results demonstrate that the proposed approach is capable of recovering the scene radiance from a single hazy image effectively, especially for the regions with multi-texture.
- Image processing /
- Image dehazing /
- Contrast enhancement /
- Regularization optimization

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参考文献(18)

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