Generative adversarial dehaze mapping nets

Author:

Li CeORCID,Zhao Xinyu,Zhang Zhaoxiang,Du Shaoyi

Funder

National Natural Science Foundation (NSFC) of China

Gansu Province Basic Research Innovation Group

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference25 articles.

1. A fast semiinverse approach to detect and remove the haze from a single image;Ancuti,2010

2. Using filter banks in convolutional neural networks for texture classification;Andrearczyk;Pattern Recognition Letters,2016

3. Generating sentences from a continuous space;Bowman,2016

4. Dehazenet: an end-to-end system for single image haze removal;Cai;IEEE Transactions on Image Processing,2016

5. Infogan: Interpretable representation learning by information maximizing generative adversarial nets;Chen,2016

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