A fast single image dehazing method based on dark channel prior and Retinex theory

被引：0

作者：

Liu, Hai-Bo ^{[1
,2
]}

Yang, Jie ^{[1
]}

Wu, Zheng-Ping ^{[1
]}

Zhang, Qing-Nian ^{[3
]}

Deng, Yong ^{[1
]}

机构：

[1] Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan University of Technology, Wuhan

[2] School of Electrical and Information Engineering, Hunan Institute of Technology, Hengyang

[3] School of Transportation, Wuhan University of Technology, Wuhan

来源：

Zidonghua Xuebao/Acta Automatica Sinica | 2015年 / 41卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Atmospheric scattering model; Dark channel prior; Image dehazing; Image fusion; Retinex theory;

D O I：

10.16383/j.aas.2015.c140748

中图分类号：

学科分类号：

摘要：

Imaging in the atmosphere presents the phenomenons of low contrast, low saturation and hue offset due to atmospheric particles such as haze and fog. In this paper, a fast method is proposed to remove haze from a single image based on dark channel prior and Retinex theory. Based on the atmospheric scattering model, dark channel prior and gray-scale opening operation are used to estimate the value of global atmospheric light by an interval. Meanwhile, the initial estimation of medium transmission is obtained. And the white balance is performed to simplify the atmospheric scattering model. Then, a simple Gaussian filter is adopted to get the coarse estimation of medium transmission based on Retinex theory, whose gray value is altered by linear mapping. After the pixels fusion between the initial estimation and coarse estimation of medium transmission, a fast joint bilateral filtering is used to refine edge, and a dynamic parameter strategy is adopted to improve the medium transmission of large sky region in fog image. Finally, the simplified atmospheric scattering model and tone mapping are used to get the restored image. Compared to some state-of-the-art methods, the proposed method can achieve a faster processing speed, effectively improve the visibility and contrast of the restored image, and obtain good color effect. ©, 2015, Acta Automatica Sinica. All right reserved.

引用

页码：1264 / 1273

页数：9

共 27 条

[1]

Sun X.-M., Sun J.-X., Zhao L.-R., Cao Y.-G., Improved algorithm for single image haze removing using dark channel prior, Journal of Image and Graphics, 19, 3, pp. 381-385, (2014)

[2]

Wu D., Zhu Q.-S., The latest research progress of image dehazing, Acta Automatica Sinica, 41, 2, pp. 221-239, (2015)

[3]

Ji X.-Q., Dai M., Yin C.-L., Feng Y.-P., Bai X.-G., Haze removal for aerial degraded images, Optics and Precision Engineering, 19, 7, pp. 1659-1668, (2011)

[4]

Nan D., Bi D.-Y., Xu Y.-L., Wang S.-Q., Lou X.-L., Image dehazing method based on dark channel prior, Journal of Central South University (Science and Technology), 44, 10, pp. 4101-4108, (2013)

[5]

Sun W., Li D.-J., Liu H.-J., Jia W., Fast single image fog removal based on atmospheric scattering model, Optics and Precision Engineering, 21, 4, pp. 1040-1046, (2013)

[6]

Li Q.-H., Bi D.-Y., Xu Y.-L., Zha Y.-F., Haze degraded image scene rendition, Acta Automatica Sinica, 40, 4, pp. 744-750, (2014)

[7]

Tan R.T., Visibility in bad weather from a single image, Proceedings of the 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-8, (2008)

[8]

Fattal R., Single image dehazing, ACM Transactions on Graphics, 27, 3, (2008)

[9]

He K.M., Sun J., Tang X.O., Single image haze removal using dark channel prior, Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1956-1963, (2009)

[10]

Tarel J.P., Hautiere N., Fast visibility restoration from a single color or gray level image, Proceedings of the 12th IEEE International Conference on Computer Vision, pp. 2201-2208, (2009)

← 1 2 3 →