[3] MA J, ZHOU Z, 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.
[5] LIU Z, FENG Y, CHEN H, et al. A fusion algorithm for infrared and visible based on guided filtering and phase congruency in NSST domain[J]. Optics & Lasers in Engineering, 2017, 97: 71-77.
[10] GUO K, LABATE D. Optimally sparse multidimensional representation using shearlets[J]. SIAM Journal on Mathematical Analysis, 2007, 39(1): 298-318.
[12] ZHAN K, ZHANG H, MA Y. New spiking cortical model for invariant texture retrieval and image processing[J]. IEEE Transactions on Neural Networks, 2009, 20(12): 1980-1986.
[13] ZHAO C, HUANG Y, QIU S. Infrared and visible image fusion algorithm based on saliency detection and adaptive double-channel spiking cortical model[J]. Infrared Physics & Technology, 2019, 102:102976.
[16] YIN S, CAO L, TAN Q, et al. Infrared and visible image fusion based on NSCT and fuzzy logic[C]// Proceedings of the 2010 IEEE International Conference on Mechatronics and Automation, 2010: 671-675.
[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] ZHANG Q, Guo B. Multifocus image fusion using the nonsubsampled contourlet transform[J]. Signal Process, 2009, 89(7): 1334-1346.
[22] MA J, 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.
[23] QU X, YAN J, XIAO H, et al. Image fusion algorithm based on spatial frequency-motivated pulse coupled neural networks in nonsubsampled contourlet transform domain[J]. Acta Automatica Sinica, 2008, 34(12): 1508-1514.
[24] YIN M, LIU X, LIU Y, et al. Medical image fusion with parameter-adaptive pulse coupled neural network in nonsubsampled shearlet transform domain[J]. IEEE Transactions on Instrumentation and Measurement, 2019, 68(1): 49-64.