Haze Removal for a Single Image Using Adaptive Template Dark Channel Prior

Jing Zhang; Wei Dong; Juan Li; Xu Ning Liu

doi:10.4028/www.scientific.net/AMM.543-547.2480

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Haze Removal for a Single Image Using Adaptive...

Haze Removal for a Single Image Using Adaptive Template Dark Channel Prior

Abstract:

In this paper, we propose an adaptive template method based on the dark channel prior. The method combines with the haze imaging model to haze removal for a single image. This method can effectively remove haze from a single input image. According to the characteristics of the image itself and the haze removal effect of the different template we divide the input image into flat region, edge region and texture region. Then, select the lager size template dispose the flat region and use midrange or minitype template dispose the edge region and texture area. Experimental results demonstrate that the proposed algorithm has very good performance for fog removal and retains the image details more effectively.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

2480-2483

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.2480

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Online since:

March 2014

Authors:

Jing Zhang*, Wei Dong, Juan Li, Xu Ning Liu

Keywords:

Adaptive Template, Dark Channel Prior, Haze Removal

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* - Corresponding Author

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