[1] SCHETTINI R, CORCHS S. Underwater image processing: state of the art of restoration and image enhancement methods[J]. EURASIP Journal on Advances in Signal Processing. 2010:746052.
[2] THOMAS W C ,JUSTIN M. Patterns and properties of polarized light in air and water[J]. Philosophical Transactions of The Ryal Society B, 2011, 366(1565): 619–626.
[3] ZHAO Y, ZHANG L, ZHANG D, et al. Object separation by polarimetric and spectral imagery fusion[J]. Computer vision and Image Understanding, 2009, 113(8) :855–866.
[4] DANIEL A L, MELANIE B. A new fusion algorithm for shadow penetration using visible and midwave infrared polarimetric images[C]. 13th International Conference on Information Fusion, 2010.
[6] ZHANG De-xiang, ZHANG Jing-jing, WU Xiao-pei, et al. Fusion of polarization image based on directionlets transform [J]. Journal of Electronics & Information Technology, 2011, 33(12):2795-2800.
[7] YANG F, WEI H. Fusion of infrared polarization and intensity images using support value transform and fuzzy combination rules[J]. Infrared Physics & Technology, 2013, 60:235-243.
[8] LI Le, ZHANG Shu-jin, A survey on algorithms of non-negative matrix factorization[J]. Acta Electronica Sinica, 2008,36(4):737-743.
[9] LEE D D, SEUNG H S. Learning the parts of objects by non-negative matrix factorization[J]. Nature, 1999, 401(21): 788-791.
[10] LEE D D, SEUNG H S. Algorithms for non-negative matrix factorization[C]. Proceedings of Advances in Neural and Information Processing Systems, Denver, 2000: 556-562.
[11] HUANG N E, ZHENG S. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[C]. Proceedings of the Royal Society London, 1998 :903 – 1005.
[12] NUNES J C, NIANG O, BOUAOUNE Y, et al. Bidimensional empirical mode decomposition modified for texture analysis[C]. Scandinavian Conference on Image Analysis, 2003:171-177.
[13] NUNES J C, BOUAOUNE Y, DELECHELLE E, Image analysis by bidimensional empirical mode decomposition[J]. Image and Vision Computing,2003,21(2003):1019-1026.
[15] OSTU N, Threshold selection method form gray level histograms[J]. IEEE Transactions System Man and Cybernetics,1997,9(1):62-66.