Image Dehazing Algorithm Based on Convolutional Neural Network and Dynamic Ambient Light

Jieping Liu; Yezhang Yang; Minyuan Chen; Lihong Ma

doi:10.3788/AOS201939.1110002

[1] Chen B H, Huang S C, Cheng F C. A high-efficiency and high-speed gain intervention refinement filter for haze removal[J]. Journal of Display Technology, 12, 753-759(2016). http://ieeexplore.ieee.org/document/7384437/

[2] Lu H B, Zhao Y F, Zhao Y J et al. Image defogging based on combination of image bright and dark channels[J]. Acta Optica Sinica, 38, 1115004(2018).

[3] Tang H Z, Zhang X G, Zhu L et al. Study of single image dehazing algorithm based on propagated filtering and minimum color channels[J]. Journal on Communications, 38, 26-34(2017).

[4] He K M, Sun J, Tang X O. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 2341-2353(2011).

[5] He K M, Sun J, Tang X O. Guided image filtering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 1397-1409(2013).

[6] Zhu Q S, Mai J M, Shao L. A fast single image haze removal algorithm using color attenuation prior[J]. IEEE Transactions on Image Processing, 24, 3522-3533(2015). http://ieeexplore.ieee.org/document/7128396

[7] Xiao J S, Gao W, Zou B Y et al. Image dehazing based on sky-constrained dark channel prior[J]. Acta Electronica Sinica, 45, 346-352(2017).

[8] Ju M Y, Gu Z F, Zhang D Y. Single image haze removal based on the improved atmospheric scattering model[J]. Neurocomputing, 260, 180-191(2017). http://www.sciencedirect.com/science/article/pii/S0925231217307051

[9] Cai B L, Xu X M, Jia K et al. DehazeNet: an end-to-end system for single image haze removal[J]. IEEE Transactions on Image Processing, 25, 5187-5198(2016). http://dl.acm.org/citation.cfm?id=3046957

[10] Ren W Q, Liu S, Zhang H et al. Single image dehazing via multi-scale convolutional neural networks[M]. ∥Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science. Cham: Springer, 9906, 154-169(2016).

[11] Li J J, Li G H, Fan H. Image dehazing using residual-based deep CNN[J]. IEEE Access, 6, 26831-26842(2018).

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

[13] Narasimhan S G, Nayar S K. Contrast restoration of weather degraded images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25, 713-724(2003). http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=1201821

[14] Kim J H, Jang W D, Sim J Y et al. Optimized contrast enhancement for real-time image and video dehazing[J]. Journal of Visual Communication and Image Representation, 24, 410-425(2013). http://www.sciencedirect.com/science/article/pii/S1047320313000242

[15] Tang K T, Yang J C, Wang J. Investigating haze-relevant features in a learning framework for image dehazing. [C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 2995-3002(2014).

[16] Luan Z, Shang Y Y, Zhou X Z et al. Fast single image dehazing based on a regression model[J]. Neurocomputing, 245, 10-22(2017). http://www.sciencedirect.com/science/article/pii/S0925231217305192

[17] Li B Y, Ren W Q, Fu D P et al. Benchmarking single-image dehazing and beyond[J]. IEEE Transactions on Image Processing, 28, 492-505(2019).

[18] Liu J P, Huang B K, Wei G. A fast effective single image dehazing algorithm[J]. Acta Electronica Sinica, 45, 1896-1901(2017).

[19] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks. [C]∥Advances in Neural Information Processing Systems 25 (NIPS 2012), December 3-8, 2012, Harrahs and Harveys, Lake Tahoe. Canada: NIPS, 1097-1105(2012).

[20] Glorot X, Bengio Y. Understanding the difficulty of training deep feedforward neural networks. [C]∥Proceedings of the thirteenth international conference on artificial intelligence and statistics, May 13-15, 2010, Chia Laguna Resort, Sardinia, Italy. [S.l.: s.n.](2010).

[22] Tu C P, Xiao J S, Du K H et al. Multi-focus image fusion algorithm based on the anisotropic thermal diffusion equation[J]. Acta Electronica Sinica, 43, 1192-1199(2015).