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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: 3463


Yiran Xiao 1, Xiaolin Tian 1,2


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


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.


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


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


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