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基于低通滤波和多特征联合优化的夜间图像去雾

Nighttime Image Dehazing Based on Low-Pass Filtering and Joint Optimization of Multi-Feature

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摘要

夜间有雾图像光照不均、对比度较低且色偏严重。现有的去雾算法主要是针对白天图像,并不适用于夜间场景,夜间图像去雾难度较大。该文通过深入分析夜间有雾图像的成像特点,提出了基于低通滤波和多特征联合优化的夜间图像去雾算法。针对夜间图像环境光照不均匀问题,提出先对图像进行低通滤波,然后对其低频分量三通道利用最小-最大值滤波估计局部环境光;针对目前白天去雾算法先验不适用于夜间图像,提出结合图像对比度、饱和度和信息熵特征,构建多特征联合优化函数估计透射率;针对夜间图像存在非一致色偏问题,提出非重叠块局部Shade of Gray算法进行颜色校正。实验结果表明:所提算法去雾图像的主观视觉效果较好,且对比度和色偏程度两方面客观评价指标整体优于其他对比算法。该算法能够有效去除夜间图像雾气,提高图像的对比度,恢复更多的细节信息,且颜色自然,视觉效果理想。

Abstract

Nighttime hazy image usually has the non-uniform illumination, low contrast and serious color deviation. The existing dehazing methods are mainly proposed for daytime images, which don't fit well with the conditions of most nighttime hazy scenes. Nighttime image dehazing is more difficult. We explore the imaging characteristics under nighttime conditions and propose a new nighttime image dehazing method based on low-pass filtering and joint optimization of multi-feature. Firstly, in order to handle the non-uniform illumination of nighttime scenes, the image is filtered by the low-pass filtering. And then the minimum-maximum filtering is applied to the low frequency components to estimate the local atmospheric light. Secondly, for the current daytime dehazing algorithm prior is not suitable for nighttime image, an effective transmission estimation method is presented based on the joint optimization of multi-feature which combines contrast, saturation and information entropy. Finally, for the non-uniform color deviation exists in nighttime images, the non-overlapping blocking local Shade of Gray is proposed. Experimental results demonstrate that the proposed algorithm has a good subjective visual effect, and the objective evaluation indexes are superior to other algorithms in contrast and color deviation degree. The proposed algorithm can significantly remove haze, improve the contrast and recover more details with the natural color and better visual effect.

Newport宣传-MKS新实验室计划
补充资料

中图分类号:TP391

DOI:10.3788/aos201838.1010006

所属栏目:图像处理

基金项目:国家自然科学基金(61372145,61472274,61771329)

收稿日期:2018-05-03

修改稿日期:2018-05-15

网络出版日期:2018-05-25

作者单位    点击查看

杨爱萍:天津大学电气自动化与信息工程学院, 天津 300072
赵美琪:天津大学电气自动化与信息工程学院, 天津 300072
王海新:天津大学电气自动化与信息工程学院, 天津 300072
鲁立宇:天津大学电气自动化与信息工程学院, 天津 300072

联系人作者:杨爱萍(yangaiping@tju.edu.cn)

【1】Wang W C, Yuan X H. Recent advances in image dehazing[J]. IEEE/CAA Journal of Automatica Sinica, 2017, 4(3): 410-436.

【2】Guo H, Xu X T, Li B. Study on image dehazing methods based on dark channel prior[J]. Acta Optica Sinica, 2018, 38(4): 0410002.
郭翰, 徐晓婷, 李博. 基于暗原色先验的图像去雾方法研究[J]. 光学学报, 2018, 38(4): 0410002.

【3】Narasimhan S G, Nayar S K. Vision and the atmosphere[J]. International Journal of Computer Vision, 2002, 48(3): 233-254.

【4】Liu H B, Yang J, Wu Z P, et al. A fast single image dehazing method based on dark channel prior and Retinex theory[J]. Acta Automatica Sinica, 2015, 41(7): 1264-1273.

【5】Li H, Xie W H, Wang X G, et al. GPU implementation of multi-scale Retinex image enhancement algorithm[C]∥Proceedings of IEEE/ACS 13th International Conference of Computer Systems and Applications, 2016: 1-5.

【6】Lai Y R, Tsai P C, Yao C Y, et al. Improved local histogram equalization with gradient-based weighting process for edge preservation[J]. Multimedia Tools and Applications, 2017, 76(1): 1585-1613.

【7】He K M, Sun J, Tang X O. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(12): 2341-2353.

【8】Berman D, Treibitz T, Avidan S. Non-local image dehazing[C]∥Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2016: 1674-1682.

【9】Liu K, Bi D Y, Wang S P, et al. Single image dehazing based on sparse feature extraction[J]. Acta Optica Sinica, 2018, 38(3): 0310001.
刘坤, 毕笃彦, 王世平, 等. 基于稀疏特征提取的单幅图像去雾[J]. 光学学报, 2018, 38(3): 0310001.

【10】Dong Y Y, Bi D Y, He L Y, et al. Single image dehazing algorithm based on non-local prior[J]. Acta Optica Sinica, 2017, 37(11): 1110001.
董亚运, 毕笃彦, 何林远, 等. 基于非局部先验的单幅图像去雾算法[J]. 光学学报, 2017, 37(11): 1110001.

【11】Pei S C, Lee T Y. Nighttime haze removal using color transfer pre-processing and dark channel prior[C]∥Proceedings of 19th IEEE International Conference on Image Processing, 2012: 957-960.

【12】Zhang J, Cao Y, Wang Z. Nighttime haze removal with illumination correction[J]. ARX-IV, 2016: 1-14.

【13】Elad M. Retinex by two bilateral filters[C]∥International Conference on Scale-Space Theories in Computer Vision, 2005: 217-229.

【14】Li Y, Tan R T, Brown M S. Nighttime haze removal with glow and multiple light colors[C]∥Proceedings of IEEE International Conference on Computer Vision, 2015: 226-234.

【15】Yang A P, Bai H H. Nighttime image defogging based on the theory of Retinex and dark channel prior[J]. Laser & Optoelectronics Progress, 2017, 54(4): 041002.
杨爱萍, 白煌煌. 基于Retinex理论和暗通道先验的夜间图像去雾算法[J]. 激光与光电子学进展, 2017, 54(4): 041002.

【16】Meng G, Wang Y, Duan J, et al. Efficient image dehazing with boundary constraint and contextual regularization[C]∥Proceedings of IEEE International Conference on Computer Vision, 2013: 617-624.

【17】Fattal R. Dehazing using color-lines[J]. ACM Transactions on Graphics, 2014, 34(1): 1-14.

【18】Tan R T. Visibility in bad weather from a single image[C]∥Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2008: 1-8.

【19】Dai S B, Xu W, Piao Y J, et al. Remote sensing image defogging based on dark channel prior[J]. Acta Optica Sinica, 2017, 37(3): 0328002.
代书博, 徐伟, 朴永杰, 等. 基于暗原色先验的遥感图像去雾方法[J]. 光学学报, 2017, 37(3): 0328002.

【20】He K M, Sun J, Tang X O. Guided image filtering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(6): 1397-1409.

【21】Finlayson G D, Trezzi E. Shades of gray and color constancy[C]∥Proceedings of 12th Color Imaging Conference, 2004: 37-41.

【22】Fu X Y, Zhuang P X, Huang Y, et al. A retinex-based enhancing approach for single underwater image[C]∥Proceedings of IEEE International Conference on Image Processing, 2015: 4572-4576.

【23】Li F, Wu J Y, Wang Y K, et al. A color cast detection algorithm of robust performance[C]∥Proceedings of IEEE 5th International Conference on Advanced Computational Intelligence, 2012: 662-664.

引用该论文

Yang Aiping,Zhao Meiqi,Wang Haixin,Lu Liyu. Nighttime Image Dehazing Based on Low-Pass Filtering and Joint Optimization of Multi-Feature[J]. Acta Optica Sinica, 2018, 38(10): 1010006

杨爱萍,赵美琪,王海新,鲁立宇. 基于低通滤波和多特征联合优化的夜间图像去雾[J]. 光学学报, 2018, 38(10): 1010006

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