[1]刘子兵,戴声奎.结合天空分割修正的快速去雾方法[J].华侨大学学报(自然科学版),2018,39(1):133-138.[doi:10.11830/ISSN.1000-5013.201508054]
　LIU Zibing,DAI Shengkui.Fast Dehaze Algorithm Based on Sky Region Segmentation and Modification[J].Journal of Huaqiao University(Natural Science),2018,39(1):133-138.[doi:10.11830/ISSN.1000-5013.201508054]
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结合天空分割修正的快速去雾方法()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第39卷
期数:
2018年第1期
页码:
133-138
栏目:
出版日期:
2018-01-17

文章信息/Info

Title:
Fast Dehaze Algorithm Based on Sky Region Segmentation and Modification
文章编号:
1000-5013(2018)01-0133-06
作者:
刘子兵;  戴声奎
华侨大学 信息科学与工程学院, 福建 厦门 361021
Author(s):
LIU Zibing;  DAI Shengkui
College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China
关键词:
图像复原;  去雾;  图像分割;  大气散射模型;  大气耗散函数
Keywords:
image restoration;  haze removal;  image segmentation;  atmospheric scattering model;  atmospheric veil
分类号:
TP391.41
DOI:
10.11830/ISSN.1000-5013.201508054
文献标志码:
A
摘要:
针对目前去雾算法对高亮天空区域处理不理想,以及去雾后的图像整体视觉效果较差的问题,提出一种结合天空区域分割修正的快速雾天图像复原方法.首先,对输入图像进行白平衡处理;其次,根据大气散射物理特性和光学成像特性对大气耗散函数做初始估计,判断是否存在天空区域,若存在天空区域,结合对比度增强调整,Otsu算法(大津法)分割出天空区域,修正天空区域的大气耗散函数;最后,由大气散射模型得到复原图像,并对复原图像做亮度调整.实验结果表明:该算法具有较强的场景适应能力,能很好地处理天空区域;复原图像具有较好视觉效果,而且执行速度更快.
Abstract:
In order to overcome the existing dehaze algorithms defects, such as bad effects in bright sky area and poor visual effects to dehaze images, a fast dehaze method is proposed based on sky region segmentation and modification. Firstly, the white balance processing is used for input images. Secondly, based on the physical property of the atmospheric scattering model and optical imaging, atmospheric veil is roughly estimated, and then determines whether or not there exists sky region. If sky region exists, sky region is segmented by contrast adjustment procedure and the Otsu algorithm, and then atmospheric veil of the sky region is modified properly. Finally, haze-free images are restored by atmospheric scattering model, and a post-processing procedure is adopted to adjust the brightness of the restored images. Experimental results yield that the proposed method not only has robust scene adaptability and achieves good restore performance in sky area, but also maintains good visual effects and ensures the faster performance.

参考文献/References:

[1] 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.
[2] FATTAL R.Single image dehazing[J].ACM Transactions on Graphics,2008,27(3):1-9.DOI:10.1145/1399504.1360671.
[3] HE Kaiming,SUN Jian,TANG Xiaoou.Single image haze removal using dark channel prior[C]//IEEE Conference on Computer Vision and Pattern Recognition.Miami:IEEE Press,2009:1956-1963.DOI:10.1109/CVPRW.2009.5206515.
[4] HE Kaiming,SUN Jian,TANG Xiaoou.Guided image filtering[C]//Proceeding of the 11th European Conference on Computer Vision.Heraklion:Springer,2010:1-14.DOI:10.1109/TPAMI.2012.213.
[5] 王伟鹏,戴声奎,项文杰,一种雾天退化场景快速复原方法[J].华侨大学学报(自然科学版),2015,36(2):156-160.DOI:10.11830/ISSN.1000-5013.2015.02.0156.
[6] 王伟鹏,戴声奎.引导滤波在雾天图像清晰化中的应用[J].华侨大学学报(自然科学版),2015,36(3):263-268.
[7] 禹晶,李大鹏,廖庆敏.基于物理模型的快速单幅图像去雾方法[J].自动化学报,2011,37(2):143-149.
[8] TAREL J P,HAUTIERE N.Fast visibility restoration from a single color or gray level image[C]//Proceedings of the IEEE 12th International Conference on Computer Vision.Kyoto:IEEE Press,2009:2201-2208.
[9] LAND E H.The Retinex theory of color vision [J].American Scientist,1977,237(6):108-128.
[10] 刘言,张红英,吴亚东,等.基于半逆法的一种快速单幅图像去雾算法[J].图学学报,2015,36(1):68-76.
[11] 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(2):7-12.
[12] OTSU N.A threshold select ion method from gray-level histograms[J].IEEE Transactions on System Man and Cybernetic,1979,9(1):962-926.
[13] THEVENAZ P D,SAGE M U.Bi-exponential edge-preserving smoother[J].IEEE Transactions on Image Processing,2012,21(9):3924-3936.
[14] SUN Wei.A new single-image fog removal algorithm based on physical model[J].Optic-International Journal for Light and Electron Optics,2013,124(21):4770-4775.
[15] HAUTIERE N,TAREL J P,AUBERT D,et al.Blind contrast enhancement assessment by gradient ratioing at visible edges[J].Image Analysis and Stereology Journal,2008,27(2):87-95.

相似文献/References:

[1]刘子兵,戴声奎.大气光幕融合的去雾新方法[J].华侨大学学报(自然科学版),2018,39(2):246.[doi:10.11830/ISSN.1000-5013.201509026]
　LIU Zibing,DAI Shengkui.Novel Haze Removal Method Based on Atmospheric Veil Fusion[J].Journal of Huaqiao University(Natural Science),2018,39(1):246.[doi:10.11830/ISSN.1000-5013.201509026]

备注/Memo

备注/Memo:
收稿日期: 2015-08-30
通信作者: 戴声奎(1971-),男,副教授,博士,主要从事图像去雾、图像处理、计算机视觉、模式识别的研究.E-mail:d.s.k@hqu.edu.cn.
基金项目: 中央高校基本科研专项基金资助项目(JB-ZR1145); 福建省科技计划重点资助项目(2013H0030)
更新日期/Last Update: 2018-01-20