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天空优化的数字图像暗通道先验去雾算法

Dark Channel Prior Dehazing Algorithm Based on Sky Optimization of Digital Image

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摘要

针对暗通道先验去雾算法受限于天空区域,提出了一种天空优化的暗通道去雾算法。在原有公式的基础上,根据天空大气光中值及天空区域的占比添加天空区域约束因子,使其适用于天空区域的处理。同时,在原含雾图像对透射率做引导滤波的基础上,利用K-均值算法聚类分割图像得到天空区域,将天空区域的平滑结果作为新的引导图像对透射率图进行引导滤波。实验结果表明,所提出的去雾算法相比于经典暗通道先验去雾算法,以及现有的一些暗通道先验改进算法,无论是在天空区域的处理、实际去雾效果,还是在图像整体视感上都有明显改进。

Abstract

A dark channel prior dehazing algorithm based on sky-potimization is provided to deal with the problem that dark channel prior dehazing algorithm is limited to the sky region. On the basis of the original formula, the sky region constraint factor is added according to the proportion of the light median value of the sky atmospheric component and the sky region, and makes it suitable for the processing of the sky region. At the same time, the sky region is obtained by K-means clustering and segmentation image, and the smoothed result of the sky region is used as a new guide image to guide and filter the transmittance diagram based on the original haze image as the guidance filtering for transmissivity. Experimental results show that the proposed dehaze algorithm is significant improvements whether in the sky region and the actual dehaze effect, or in the overall visual perception of the image compared with the classic dark channel prior dahazing algorithm and other dark channel prior improved algorithm.

Newport宣传-MKS新实验室计划
补充资料

中图分类号:TP391.41;TP751.1

DOI:10.3788/lop55.081010

所属栏目:图像处理

基金项目:国家自然科学基金(61401307)、河北省科学技术研究与发展项目(11213565)、河北省引进留学人员资助(CL201707)

收稿日期:2018-02-08

修改稿日期:2018-03-19

网络出版日期:2018-03-21

作者单位    点击查看

曾致远:河北工业大学电子信息工程学院, 天津 300401
周亚同:河北工业大学电子信息工程学院, 天津 300401
池越:河北工业大学电子信息工程学院, 天津 300401
史芳宁:河北工业大学电子信息工程学院, 天津 300401

联系人作者:周亚同(zyt@hebut.edu.cn); 曾致远(zengzhiyuan716@163.com);

【1】Luo Y X. Study on an image enhancement method of low contrast image in fog day[D]. Tianjin: Tianjin University, 2005.
罗颖昕. 雾天低对比度图像增强方法的研究[D]. 天津: 天津大学, 2005.

【2】Chen W. Research on an image enhancement algorithm based on Retinex theory[D]. Nanjing: Nanjing University of Science and Technology.
陈雾. 基于Retinex理论的图像增强算法研究[D]. 南京: 南京理工大学, 2006.

【3】Wang R G, Zhu J, Yang wanting T, et al. Local multiscale Retinex algorithm based on illumination segmentation[J]. Acta Electronica Sinica, 2010, 38(5): 1181-1186.
王荣贵, 朱静, 杨万挺, 等. 基于照度分割的局部多尺度Retinex算法[J]. 电子学报, 2010, 38(5): 1181-1186.

【4】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.

【5】Fattal R. Single image dehazing[J]. ACM Transactions on Graphics, 2008, 27(3): 72.

【6】Narasimhan S G, Nayar S K. Chromatic framework for vision in bad weather[C]∥Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2000: 598-605.

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

【8】Narasimhan S G, Nayar S K. Interactive Deweathering of an image using physical models[C]∥Proceedings of IEEE Workshop on Color and Photometric Methods in Computer Vision, 2003: 8799.

【9】Narasimhan S G, Nayar S K. Contrast restoration of weather degraded images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(6): 713-724.

【10】Kopf J, Neubert B, Chen B, et al. Deep photo: model-based photograph enhancement and viewing[J]. ACM Transaction on Graphics, 2008, 27(5): 116.

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

【12】He K M, Jian S, Tang X O. Guided image filtering[C]. 11th European Conference on Computer Vision, 2010: 1-14.

【13】Gibson K B, Vo D T, Nguyen T Q. An investigation of dehazing effects on image and video coding[J]. IEEE Transactions on Image Processing, 2012, 21(2): 662-673.

【14】Pang C Y, Ji X Q, Sun L N, et al. An improved method of image fast defogging[J]. Acta Photonica Sinica, 2013, 42(7): 872-877.

【15】Gan J J, Xiao C X. Fast image dehazing based on accurate scattering map[J]. Journal of Image and Graphics, 2013, 18(5): 583-590.

【16】Sun W. A new single-image fog removal algorithm based on physical model[J]. International Journal for Light and Electron Optics, 2013, 124(21): 4770-4775.

【17】Zhang B B, Dai S K, Sun W Y. Fast image haze-removal algorithm based on the prior dark-channel[J]. Journal of Image and Graphics, 2013, 18(2): 184-188.

【18】Wang J D, Zhang W T, Wang Z R, et al. A fast image aerial dehazing algorithm[J]. Acta Aeronautica et Astronautica Sinica, 2013, 34(3): 636-643.
王敬东, 张文涛, 王子瑞, 等. 一种快速航空图像去雾算法[J]. 航空学报, 2013, 34(3): 636-643.

【19】Deng L. Adaptive image dehazing for bright areas based on global dark channel prior[J]. Optics and Precision Engineering, 2016, 24(4): 892-901.
邓莉. 针对明亮区域的自适应全局暗原色先验去雾[J]. 光学 精密工程, 2016, 24(4): 892-901.

【20】Huang Y Q, Ding W R, Li H G. Haze removal method for UAV reconnaissance images based on image enhancement[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43 (3): 592-601.
黄宇晴, 丁文锐, 李红光. 基于图像增强的无人机侦察图像去雾方法[J]. 北京航空航天大学学报, 2017, 43(3): 592-601.

【21】Jiang J G, Hou T F, Qi M B. Improved image on image haze removal using dark channel prior[J]. Journal of Circuits and Systems, 2011, 16(2): 7-12.
蒋建国, 侯天峰, 齐美彬. 改进的基于暗原色先验的图像去雾算法[J]. 电路与系统学报, 2011, 16(2): 7-12.

【22】Shen Y Y, Shao Y Q, Liu C X, et al. Integration sky detection with texture smoothing for image defogging[J]. Journal of Image and Graphics, 2017, 22(7): 0897-0905.
沈逸云, 邵雅琪, 刘春晓, 等. 结合天空检测与纹理平滑的图像去雾[J]. 中国图象图形学报, 2017, 22(7): 0897-0905.

【23】Liu K, BiD Y, Wang S P, et al. A single image dehazing based on sparse feature[J]. Acta Optics 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.

【24】Guo H, XuX T, Li B. Study on image dehazing method based on dark channel prior[J]. Acta Optics Sinica, 2018, 38(4): 0410002.
郭翰, 徐晓婷, 李博. 基于暗原色先验图像去雾方法的研究[J]. 光学学报, 2018, 38(4): 0410002.

【25】Yang A P, Bai H H. Nighttime image deforgging 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.

引用该论文

Zeng Zhiyuan,Zhou Yatong,Chi Yue,Shi Fangning. Dark Channel Prior Dehazing Algorithm Based on Sky Optimization of Digital Image[J]. Laser & Optoelectronics Progress, 2018, 55(8): 081010

曾致远,周亚同,池越,史芳宁. 天空优化的数字图像暗通道先验去雾算法[J]. 激光与光电子学进展, 2018, 55(8): 081010

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