[1] K. M. He, J. Sun and X. O. Tang, Single Image Haze Removal Using Dark Channel Prior, IEEE Conference on Computer Vision and Pattern Recognition, 1956 (2009).
[3] LIU Hai-bo, YANG Jie and WU YA-ping, Journal of Electronics and Information Technology 33, 381 (2016). (in Chinese)
[4] LIU Yan, ZHANG Hong-ying and WU Ya-dong, Journal of Graphics 36, 68 (2015). (in Chinese)
[5] S. Nayar and S. Narasimhan, International Journal of Computer Vision 48, 233 (2002).
[6] P. Wei, Y. Liu and S. Wang, Dehazing Model Based on Multiple Scattering, International Congress on Image and Signal Processing, 249 (2010)
[7] J. S. Pan, D. Q. Sun, H. Pfister and M. H. Yang, Blind Image Deblurring Using Dark Channel Prior, IEEE Conference on Computer Vision and Pattern Recognition, 1628 (2016).
[9] L. Xu, H. Zheng and J. Jia, Unnatural L0 Sparse Representation for Natural Image Deblurring, IEEE Conference on Computer Vision and Pattern Recognition, 1107 (2013).
[10] S. Cho, S. Paris, B. K. P. Horn and W. T. Freeman, Blur Kernel Estimation Using the Radon Transform, IEEE Conference on Computer Vision and Pattern Recognition, 241 (2011).
[11] D. Krishnan, T. Tay and R. Fergus, Blind Deconvolution Using a Normalized Sparsity Measure, IEEE Conference on Computer Vision and Pattern Recognition, 233 (2011).
[12] D. Perrone and P. Favaro, IEEE Transactions on Pattern Analysis and Machine Intelligence 10, 8162 (2015).
[13] YU Yi-Bin, PENG Nian and GAN Jun-Ying, Acta Electronica Sinica 44, 1168(2016). (in Chinese)
[14] J. S. Pan, Z. Hu, Z. X. Sun and M. H. Yang, IEEE Transactions on Pattern Analysis and Machine Intelligence, 10, 255 (2016).
[15] Z. Hu, S. Cho, J. Wang and M.-H. Yang, Deblurring Low-Light Images with Light Streaks, IEEE Conference on Computer Vision and Pattern Recognition, 3382 (2014).
[16] N. Wang, J. Ding, L. Chen and R. Chang, Efficient Image Deblurring via Blockwise Non-Blind Deconvolution Algorithm, International Conference on Information Communications and Signal Processing, 1 (2015).
