Single Image Dehazing Based on Deep Neural Network

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International Journal of Advanced Network, Monitoring and Controls

Xi'an Technological University

Subject: Computer Science , Software Engineering

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eISSN: 2470-8038

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VOLUME 2 , ISSUE 4 (December 2017) > List of articles

Single Image Dehazing Based on Deep Neural Network

Dewei Huang / Kexin Chen / Jianqiang Lu / Weixing Wang *

Keywords : Dehazing, Deep neural network, Imagedepth map

Citation Information : International Journal of Advanced Network, Monitoring and Controls. Volume 2, Issue 4, Pages 10-14, DOI: https://doi.org/10.1109/iccnea.2017.107

License : (CC BY-NC-ND 4.0)

Published Online: 23-April-2018

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ABSTRACT

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.

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Narasimhan S G, Nayar S K. Vision and the Atmosphere[J]. International Journal of Computer Vision, 2002, 48(3):233-254.

 

Stark J A, Fitzgerald W J. An alternative algorithm for adaptive histogram equalization[J]. Graphical Models and Image Processing, 1996, 58(2): 180-185.

 

Stark J A. Adaptive image contrast enhancement using generalizations of histogram equalization[J]. Image Processing, IEEE Transactions on, 2000, 9(5): 889-896.

 

Rahman Z, Jobson D J, Woodell G A. Multi-scale retinex for color image enhancement[C]// International Conference on Image Processing, 1996. Proceedings. IEEE, 2002:1003-1006 vol.3.

 

R. T. Tan. Visibility in bad weather from a single image. In Proc. CVPR, 2008

 

R. Fattal. Single image dehazing. ACM Transactions on Graphics, 27(3), 2008

 

K. He, J. Sun, and X. Tang. Single image haze removal using dark channel prior. In Preoccupy, 2009.

 

K. He, J. Sun, and X. Tang. Single image haze removal using dark channel prior. IEEE TPAMI 33(12): 2341-2353, 2011.

 

K. He, J. Sun, and X. Tang. Guided image filtering. In Proc. ECCV, pages 1-14, 2010.

 

K. He, J. Sun and X. Tang. Guided image filtering. IEEE TPAMI, 35(6): 1397-1409, 2013.

 

J. P. Tarel, and H. Nicolas. Fast visibility restoration from a single color or gray level image. In Proc. ICCV, 2009.

 

Zhu Q, Mai J, Shao L. A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior.[J]. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society, 2015, 24(11): 3522-33.

 

Stark J A, Fitzgerald W J. An alternative algorithm for adaptive histogram equalization[J]. Graphical Models and Image Processing, 1996, 58(2): 180-185.

 

Narasimhan S G, Nayar S K. Contrast restoration of weather degraded images[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2003, 25(6):713-724.

 

Eigen D, Puhrsch C, Fergus R. Depth Map Prediction from a Single Image using a Multi-Scale Deep Network[J]. Computer Science, 2014:2366-2374.

 

Hu Zi’ang, Wang Weixing, Lu Jiangqiang, et al, Image Dehazing using Visual Information Loss Prior[J], Journal of Image and Gaphics, 2016, 21(6):711-722.22.

 

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