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Image de-hazing Method Based on Dark Channel Prior

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DOI: 10.23977/jeis.2017.22004 | Downloads: 12 | Views: 3345

Author(s)

Yiran Xiao 1, Xiaolin Tian 1,2

Affiliation(s)

1 Faculty of Information Technology, Macau University of Science and Technology, Macau, China
2 Space Science Institute, Macau University of Science and Technology, Macau, China

Corresponding Author

Yiran Xiao

ABSTRACT

In this paper, an image de-hazing method based on dark channel prior is discussed.  Based on the atmospheric model and physical theory, an improved KPCA method will be used to optimize transmission function instead of filter method before. Meanwhile, a progressive traversal method will be used for estimation of atmospheric light. Also, color domain correction will be added after obtaining the restored image for a better consistency with human visual properties. For different types of fog, such as water-fog in Macau, the method can show a great result.

KEYWORDS

Dark-channel Prior, Atmospheric Model, Image de-hazing.

CITE THIS PAPER

Yiran, X. , Xiaolin, T. (2017) Image de-hazing Method Based on Dark Channel Prior. Journal of Electronics and Information Science (2017) 2: 80-83.

REFERENCES

[1] Tan RT.Visbiility in bad weather from a single image[C]//Computer Vision and Pattern Recognition, 2008.CVPR 2008.IEEE Conference on IEEE, 2008: l-8.
[2] Fattal R.Smgleimage dehazing[C]//ACM Transactions on Graphics(TOG).ACM, 2008,27(3):72.
[3] MA Shiping, ZHANG Ming, BI Duyan, et al. Novel detail preserving Retinex algorithm for image enhancement[J]. Journal of Xidian University, 2010, 37(3): 541−546.
[4] NAN Dong, BI Duyan, XU Yuelei, WANG Shiqiang, LU Xiaolong, Image dehazing method based on dark channel prior, Journal of Central South University (Science and Technology).
[5] ShiWenxuan,WuMinyuan,DengDexiang,et al. Implementation of eliminating cloud and mist noise from remote sensing images[ J]. Optics and Precision Engineering, 2010, 18 ( 1):266-272.

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