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Article | 09-April-2018

The Prediction of Haze Based on BP Neural Network and Matlab

In this paper, the neural network theory is used to establish the BP neural network prediction system for the occurrence of haze. The corresponding parameters are determined by MATLAB language, and the effect of the model is tested by the prediction of Shijiazhuang area. The result shows the feasibility of the predictive model. So it’s valuable and has a bright future.

Ma Limei, Wang Fangwei

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 2, 107–119

Article | 23-April-2018

Single Image Dehazing Based on Deep Neural Network

This paper proposes a single image dehazing based on deep neural network that is to deal with haze image. In this paper, we build up a deep neural network to restore the hazy image.We test our method both objective and subjective and compare with classical method for dehazing. Our test shows that our method works better than the others in reducing Halo effect and also our method does well in restore colorful of input image. Finally, our method process faster.

Dewei Huang, Kexin Chen, Jianqiang Lu, Weixing Wang

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 4, 10–14

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