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)

HE Kaiming, SUN Jian, and TANG Xiaoou. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(12): 2341-2353. doi: 10.1109/TPAMI.2010.168.

毕笃彦, 葛渊, 李权合, 等. 单幅图像去雾方法研究[J]. 空军工程大学学报: 自然科学版, 2013, 14(6): 46-53. doi: 10.3969/j.issn.1009-3516.2013.06.012.

BI Duyan, GE Yuan, LI Quanheng, et al. A research on defogging methods with single image[J]. Journal of Air Force Engineering University: Natural Science Edition, 2013, 14(6): 46-53. doi: 10.3969/j.issn.1009-3516.2013.06.012.

MI Z, ZHOU H, ZHENG Y, et al. Single image dehazing via multi-scale gradient domain contrast enhancement[J]. IET Image Processing, 2016, 3(10): 206-214. doi: 10.1049/iet-ipr. 2015.0112.

HE R, WANG Z, FAN Y, et al. Combined constraint for single image dehazing[J]. IET Electronics Letters, 2015, 51(22): 1776-1778. doi: 10.1049/el.2015.0707.

WANG Dan and ZHU Jubo. Fast smoothing technique with edge preservation for single image dehazing[J]. IET Computer Vision, 2015, 9(6): 950-959. doi: 10.1049/iet-cvi.2015.0063.

WANG Jinbao, HE Ning, ZHANG Lulu, et al. Single image dehazing with a physical model and dark channel prior[J]. Elsevier Neurocomputing, 2015, 149(PB): 718-728. doi: 10.1016/j.neucom.2014.08.005.

WANG Zhongliang and FENG Yan. Fast single haze image enhancement[J]. Elsevier Computers Electrical Engineering, 2014, 40(3): 785-795. doi: 10.1016/j.compeleceng.2013.06. 009.

NARASIMHAN S and NAYAR S. Vision and the atmosphere[J]. International Journal of Computer Vision, 2002, 48(3): 233-254. doi: 10.1023/A:1016328200723.

TAN R. Visibility in bad weather from a single image[C]. IEEE Conference on Computer Vision and Pattern Recognition, Alaska, USA, 2008: 1-8.

FATTAL R. Single image dehazing[J]. ACM Transactions on Graphics, 2008, 27(3): 1-9. doi: 10.1145/1399504.1360671.

TAREL J and HAUTIERE N. Fast visibility restoration from a single color or gray level image[C]. IEEE International Conference on Computer Vision, Kyoto, Japan, 2009: 2201-2208.

RUDIN L, OSHER S, and FATEMI E. Nonlinear total variation based noise removal algorithms[J]. Physica D: Nonlinear Phenomena, 1992, 60(1): 259-268. doi: 10.1016/ 0167-2789(92)90242-F.

吴迪, 朱青松. 图像去雾的最新研究进展[J]. 自动化学报, 2015, 41(2): 221-239. doi: 10.16383/j.aas.2015.c131137.

WU Di and ZHU Qingsong. The latest research progress of image dehazing[J]. Acta Automatica Sinica, 2015, 41(2): 221-239. doi: 10.16383/j.aas.2015.c131137.

SULAMI M, GELTZER I, FATTAL R, et al. Automatic recovery of the atmospheric light in hazy images[C]. IEEE International Conference on Computational Photography, Santa Clara, USA, 2014: 1-11.

MITTAL A, MOORTHY A, and BOVIK A. No-reference image quality assessment in the spatial domain[J]. IEEE Transactions on Image Processing, 2012, 21(12): 4695-4708. doi: 10.1109/TIP.2012.2214050.

HAUTIERE N, TAREL J, and AUBERT D. Blind contrast enhancement assessment by gradient ratioing at visible edges[J]. Image Analysis Stereology Journal, 2008, 27(2): 87-95. doi: 10.5566/ias.v27.p87-95.

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