[1] 叶春明. 水下对空成像中的波面估计［J］. 光学与光电技术, 2011, 9(2): 33-36.

    YE Chun-ming. Wave estimation on through-surface underwater imaging［J］. Optics & Optoelectronic Technology, 2011, 9(2): 33-36.

[2] 徐枫, 刘爱东, 陈宏利. 一种水下对空成像图像增强算法［J］. 光学与光电技术, 2007, 5(3): 59-62.

    XU Feng, LIU Ai-dong, CHEN Hong-li. Enhanced algorithm of underwater imaging for air targets［J］. Optics & Optoeiectronic Technology, 2007, 5(3): 59-62.

[3] Lee S. An efficient content-based image enhancement in the compressed domain using Retinex theory［J］. IEEE Transactions on Circuits and Systems for Video Technology, 2007, 17(2): 199-213.

[4] Du S, Ward R-K. Adaptive region-based image enhancement method for robust face recognition under variable illumination conditions［J］. IEEE Transactions on Circuits and Systems for Video Technology, 2010, 99: 1-12.

[5] Boudraa A O, Diop E H S. Image contrast enhancement based on 2D teager-kaiser operator［C］. Proceedings of the IEEE International Conference on Image Processing (ICIP), 2008: 3180-3183.

[6] Xu Q, Jiang H, Scopigno R, et al. A new approach for very dark video denoising and enhancement［C］. Image Processing (ICIP), 2010 17th IEEE International Conference, 2010: 1185-1188.

[7] HE K M, SUN J, TANG X O. Single image haze removal using dark channel prior［C］. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Washington D C: IEEE Computer Society, 2009: 1956-1963.

[8] Le Roux N, Bengio Y. Representational power of restricted Boltzmann machines and deep belief networks ［J］. Neural N Computation, 2008, 20(6): 1631-1649.

[9] HintonG E, Osindero S. A fast learning algorithmfor deep belief nets［J］. Neural Computation, 2006, 18(7): 1527-1554.

[10] Hinton G, Deng L, Yu D, et al. Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups［J］. Signal Processing Magazine, IEEE, 2012, 29(6): 82-97.