[1] Zhou Yuren. Research on fusion algorithms of infrared and visible images[D]. Changchun: University of Chinese Academy of Sciences, 1-3(2014).

[2] Guo Ming, Fu Zheng, Xi Xiaoliang. Novel fusion algorithms for infrared and visible images based on local energy in NSCT domain[J]. Infrared and Laser Engineering, 41, 2229-2235(2012).

[3] Hall D L, Linas J L. An introduction to multisensor data fusion[J]. Proceedings of the IEEE, 85, 6-23(1997). http://doi.ieeecomputersociety.org/resolve?ref_id=doi:10.1109/5.554205&rfr_id=trans/tk/2006/12/ttk2006121696.htm

[4] Smith M I, Heather J P. A review of image fusion technology in 2005[C]. SPIE, 5782, 29-45(2005).

[5] Tu T M, Su S C, Shyu H C et al. A new look at HIS-like image fusion methods[J]. Information Fusion, 2, 177-186(2001).

[6] Wei H, Zhong L J. Multi-focus image fusion using pulse couple neural networks[J]. Pattern Recognition Letters, 28, 1123-1132(2007). http://dl.acm.org/citation.cfm?id=1238193

[7] Wu Di. Research on the fusion algorithm of infrared image and visible image[D]. Chengdu: University of Chinese Academy of Sciences, 12-17(2015).

[8] Ye Chuanqi. Research on multi-sensor image fusion algorithm based on multiscale decomposition Xi'an:[D]. Xidian University, 35-39(2009).

[9] Wu Yiquan. Multispectral and panchromatic image fusion based on improved projected gradient NMF in NSST domain[J]. Acta Optica Sinica, 35, 0410005(2015).

[10] Wang Lei. Study for the key algorithms in multi-modal medical image registration and fusion[D]. Guangzhou: South China University of Technology, 59-63(2013).

[11] Li H, Manjunath B, Mitra S. Multisensor image fusion using the wavelet transform[J]. Graphical and Models Image Processing, 57, 235-245(1995).

[12] Miao Q G, Shi C, Xu P F et al. Multi-focus image fusion algorithm based on shearlets[J]. Chinese Optics Letters, 9, 041001(2011). http://www.opticsjournal.net/Articles/Abstract?aid=OJ110318000001NjPmSp

[13] Zhang Lei. Fusion of infrared and visible images based on non-sampled contourlet transform and region classification[J]. Optics and Precision Engineering, 23, 810-818(2015).

[14] Dai Wenzhan. Adaptive medical image fusion based on human visual features[J]. Acta Electronica Sinica, 44, 1932-1939(2016).

[15] Xing Yaqiong. Fusion technique for multi-focus images based on orientation information measurement in non-subsample shearlet transform domain[J]. Systems Engineering and Electronics, 37, 191-198(2015).

[16] Liu Jian. Fusion technique for SAR and gray visible image based on hidden Markov model in non-subsample shearlet transform domain[J]. Control and Decision, 31, 453-457(2016).

[17] Pajares G, Manuel J. A wavelet-based image fusion tutorial[J]. Pattern Recognition, 37, 1855-1872(2004). http://www.sciencedirect.com/science/article/pii/S0031320304001037

[18] Wang Z, Bovik A. A universal image quality index[J]. IEEE Signal Process Letters, 9, 81-84(2002). http://ieeexplore.ieee.org/iel5/97/21489/00995823.pdf

[19] Qu G, Zhang D, Yan P. Information measure for performance of image fusion[J]. Electronics Letters, 38, 313-315(2002). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=995479

[20] Xydeas C S, Petrovic V. Objective image fusion performance measure[J]. Electronics Letters, 36, 308-309(2000). http://ieeexplore.ieee.org/iel5/2220/18162/00840225.pdf

[21] Wang Z, Bovik A C, Sheikh H R et al. Image quality assessment: from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 13, 600-612(2004). http://www.emeraldinsight.com/servlet/linkout?suffix=b20&dbid=16&doi=10.1108%2FIJPCC-08-2014-0044&key=10.1109%2FTIP.2003.819861