[1] [1] Lukac R. Refined automatic white balancing[J]. Electronics Letters, 2007, 43 (8): 445–446.

[2] [2] Zhang B Y, Batur A U. A real-time auto white balance algorithm for mobile phone cameras[C]//Proceedings of 2012 IEEE International Conference on Consumer Electronics, 2012: 1–4.

[3] [3] Buchsbaum G. A spatial processor model for object colour perception[ J]. Journal of the Franklin Institute, 1980, 310 (1): 1–26.

[4] [4] Liu Y C, Chan W H, Chen Y Q. Automatic white balance for digital still camera[J]. IEEE Transactions on Consumer Electronics, 1995, 41 (3): 460–466.

[5] [5] Weng C C, Chen N H, Fuh C S. A novel automatic white balance method for digital still cameras[C]//Proceedings of IEEE International Symposium on Circuits and System, 2005, 4: 3801–3804.

[6] [6] Dong C, Loy C C, He K M, et al. Learning a deep convolutional network for image super-resolution[M]//FLEET D, PAJDLA T, SCHIELE B, et al. Computer Vision–ECCV 2014. Cham: Springer, 2014: 184–199.

[7] [7] Cheng D L, Price B, Cohen S, et al. Effective learning-based illuminant estimation using simple features[C]//Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition, 2015: 1000–1008.

[8] [8] Barron J T. Convolutional color constancy[C]//Proceedings of 2015 IEEE International Conference on Computer Vision, 2015: 379–387.

[9] [9] Barron J T. Convolutional color constancy[C]//Proceedings of 2015 IEEE International Conference on Computer Vision, 2015: 379–387.

[10] [10] Liu Y C, Chan W H, Chen Y Q. Automatic white balance for digital still camera[J]. IEEE Transactions on Consumer Electronics, 1995, 41(3): 460–466.

[11] [11] 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, 2011, 33(12): 2341–2353.

[12] [12] Yeh C H, Kang L W, Lee M S, et al. Haze effect removal from image via haze density estimation in optical model[J]. Optics Express, 2013, 21(22): 27127–27141.

[13] [13] Gehler P V, Rother C, Blake A, et al. Bayesian color constancy revisited[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2008: 1–8.

[14] [14] Cheng D L, Prasad D K, Brown M S. Illuminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution[J]. Journal of the Optical Society of America A, 2014, 31 (5): 1049–1058.