[1] [1] Stathaki T. Imagefusion: algorithms and applications［M］. London: Elsevier, 2008.

[2] [2] Burt P J, Adelson E H. The Laplacian pyramid as a compact image code［J］. IEEE Transactions on Communications, 1983, 31(4): 532-540.

[3] [3] Cheng D Q, Chen G, Gao L Z, et al. An adaptive region fusion rule multi-focus image fusion algorithm［J］. Laser & Optoelectronics Progress, 2017, 54(10): 101005.

[4] [4] Zhu D R, Xu L, Wang F B, et al. Multi-focus image fusion algorithm based on fast finite shearlet transform and guidance filter［J］. Laser & Optoelectronics Progress, 2018, 55(1): 011001.

[5] [5] Ding W S, Bi D Y, He L Y, et al. Fusion of infrared and visible image based on shear wave transform and neighbor structure［J］. Acta Optica Sinica, 2017, 37(10): 1010002.

[6] [6] Yang B, Li S T. Multifocus image fusion and restoration with sparse representation［J］. IEEE Transactions on Instrumentation & Measurement, 2010, 59(4): 884-892.

[7] [7] Cheng X J, Cheng X L, Hu M J, et al. Building detection and contour extraction by fusion of aerial images and LIDAR point cloud［J］. Chinese Journal of Lasers, 2016, 43(5): 0514002.

[8] [8] Bai X Z, Zhang Y, Zhou F G, et al. Quadtree-based multi-focus image fusion using a weighted focus-measure［J］. Information Fusion, 2015, 22: 105-118.

[9] [9] Liu Y, Wang Z F. Multi-focus image fusion based on wavelet transform and adaptive block［J］. Journal of Image and Graphics, 2013, 18(11): 1435-1444.

[10] [10] Nooshyar M, Abdipour M, Khajuee M. Multi-focusimage fusion for visual sensor networks in wavelet domain［C］. International Symposium on Artificial Intelligence and Signal Processing, 2013: 23-31.

[11] [11] Cai M R, Yang J Y, Cai G H. Multi-focus image fusion algorithm using LP transformation and PCNN［C］. 6th IEEE International Conference on Software Engineering and Service Science, 2015: 237-241.

[12] [12] Zhou Z Q, Li S, Wang B. Multi-scale weighted gradient-based fusion for multi-focus images［J］. Information Fusion, 2014, 20: 60-72.

[13] [13] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks［J］. Communications of the ACM, 2017, 60(6): 84-90.

[14] [14] Lecun Y, Boser B, Denker J S, et al. Backpropagation applied to handwritten zip code recognition［J］. Neural Computation, 2014, 1(4): 541-551.

[15] [15] Simonyan K, Zisserman A. Verydeep convolutional networks for large-scale image recognition［J］. Computer Science, 2014, 246-259.

[16] [16] Szegedy C, Liu W, Jia Y Q, et al. Going deeper with convolutions［C］. IEEE Conference on Computer Vision and Pattern Recognition, 2014: 1-9.

[17] [17] Nejati M, Samavi S, Shirani S. Multi-focus image fusion using dictionary-based sparse representation［J］. Information Fusion, 2015, 25: 72-84.