[1] Xu H, Wang Y, Wu Y J, et al. Infrared and multi-type images fusion algorithm based on contrast pyramid transform[J]. Infrared Physics & Technology, 2016, 78: 133-146.

[2] Daubechies I. The wavelet transform, time-frequency localization and signal analysis[J]. IEEE Transactions on Information Theory, 1990, 36(5): 961-1005.

[3] Li H, Manjunath B S, Mitra S K. Multisensor image fusion using the wavelet transform[J]. Graphical Models and Image Processing, 1995, 57(3): 235-245.

[4] 武治国, 王延杰. 一种基于边缘的曲波变换图像融合方法[J]. 光学技术, 2009, 35(5): 682-685, 690.

    Wu Z G, Wang Y J. Image fusion algorithm using curvelet transform based on the edge detection[J]. Optical Technique, 2009, 35(5): 682-685, 690.

[5] CaiW, LiM, Li XY. Infrared and visible image fusion scheme based on contourlet transform[C]∥2009 Fifth International Conference on Image and Graphics, September 20-23, 2009, Xi'an, Shaanxi, China. New York: IEEE, 2009: 516- 520.

[6] Aishwarya N, Bennila Thangammal C. Visible and infrared image fusion using DTCWT and adaptive combined clustered dictionary[J]. Infrared Physics & Technology, 2018, 93: 300-309.

[7] Lewis J J. O'Callaghan R J, Nikolov S G, et al. Pixel- and region-based image fusion with complex wavelets[J]. Information Fusion, 2007, 8(2): 119-130.

[8] Burt P J, Adelson E H. The Laplacian pyramid as a compact image code[J]. IEEE Transactions on Communications, 1983, 31(4): 532-540.

[9] Petrovic V S, Xydeas C S. Gradient-based multiresolution image fusion[J]. IEEE Transactions on Image Processing, 2004, 13(2): 228-237.

[10] Toet A. Image fusion by a ratio of low-pass pyramid[J]. Pattern Recognition Letters, 1989, 9(4): 245-253.

[11] Adu J H, Gan J H, Wang Y, et al. Image fusion based on nonsubsampled contourlet transform for infrared and visible light image[J]. Infrared Physics & Technology, 2013, 61: 94-100.

[12] 吴一全, 陶飞翔. 改进投影梯度NMF的NSST域多光谱与全色图像融合[J]. 光学学报, 2015, 35(4): 0410005.

    Wu Y Q, Tao F X. Multispectral and panchromatic image fusion based on improved projected gradient NMF in NSST domain[J]. Acta Optica Sinica, 2015, 35(4): 0410005.

[13] Zhou Z Q, Wang B, Li S, et al. Perceptual fusion of infrared and visible images through a hybrid multi-scale decomposition with Gaussian and bilateral filters[J]. Information Fusion, 2016, 30: 15-26.

[14] 江泽涛, 吴辉, 周哓玲. 基于改进引导滤波和双通道脉冲发放皮层模型的红外与可见光图像融合算法[J]. 光学学报, 2018, 38(2): 0210002.

    Jiang Z T, Wu H, Zhou X L. Infrared and visible image fusion algorithm based on improved guided filtering and dual-channel spiking cortical model[J]. Acta Optica Sinica, 2018, 38(2): 0210002.

[15] ZhangQ, Shen XY, XuL, et al. Rolling guidance filter[M] ∥Zhang Q, Shen X Y, Xu L, et al. Computer vision-ECCV 2014. Lecture notes in computer science. Cham: Springer, 2014, 8691: 815- 830.

[16] Cheng B Y, Jin L X, Li G N. Adaptive fusion framework of infrared and visual image using saliency detection and improved dual-channel PCNN in the LNSST domain[J]. Infrared Physics & Technology, 2018, 92: 30-43.

[17] Wang J J, Li Q, Jia Z H, et al. A novel multi-focus image fusion method using PCNN in nonsubsampled contourlet transform domain[J]. Optik, 2015, 126(20): 2508-2511.

[18] Ma J L, Zhou Z Q, Wang B, et al. Infrared and visible image fusion based on visual saliency map and weighted least square optimization[J]. Infrared Physics & Technology, 2017, 82: 8-17.

[19] Li S T, Yang B, Hu J W. Performance comparison of different multi-resolution transforms for image fusion[J]. Information Fusion, 2011, 12(2): 74-84.

[20] Nencini F, Garzelli A, Baronti S, et al. Remote sensing image fusion using the curvelet transform[J]. Information Fusion, 2007, 8(2): 143-156.

[21] SruthyS, ParameswaranL, Sasi AP. Image fusion technique using DT-CWT[C]∥2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (IMac4s), March 22-23, 2013, Kottayam, India. New York: IEEE, 2013: 160- 164.

[22] Zhang B H, Lu X Q, Jia W T. A multi-focus image fusion algorithm based on an improved dual-channel PCNN in NSCT domain[J]. Optik, 2013, 124(20): 4104-4109.

[23] Yin M, Duan P H, Liu W, et al. A novel infrared and visible image fusion algorithm based on shift-invariant dual-tree complex shearlet transform and sparse representation[J]. Neurocomputing, 2017, 226: 182-191.

[24] ( 2018-12-18)[2018-12-24].https:∥arxiv.org/abs/1804.08992?context=cs.

    LiH, Wu XJ. Infrared and visible image fusion using latent low-rank representation[EB/OL].

[25] Ma J Y, Chen C, Li C, et al. Infrared and visible image fusion via gradient transfer and total variation minimization[J]. Information Fusion, 2016, 31: 100-109.

[26] Naidu V P S. Image fusion technique using multi-resolution singular value decomposition[J]. Defence Science Journal, 2011, 61(5): 479-484.

[27] Qu G H, Zhang D L, Yan P F. Information measure for performance of image fusion[J]. Electronics Letters, 2002, 38(7): 313-315.

[28] 冯欣, 曾周末, 封皓, 等. 基于小波信息熵的分布式振动传感系统的扰动评价方法[J]. 光学学报, 2013, 33(11): 1106005.

    Feng X, Zeng Z M, Feng H, et al. A method for evaluating the disturbance in distributed vibration sensor based on wavelet information entropy[J]. Acta Optica Sinica, 2013, 33(11): 1106005.

[29] Balasubramaniam P, Ananthi V P. Image fusion using intuitionistic fuzzy sets[J]. Information Fusion, 2014, 20: 21-30.

[30] Wang H D, Yao X. Objective reduction based on nonlinear correlation information entropy[J]. Soft Computing, 2016, 20(6): 2393-2407.

[31] Chen H, Varshney P K. A human perception inspired quality metric for image fusion based on regional information[J]. Information Fusion, 2007, 8(2): 193-207.