Optical Technique, Volume. 48, Issue 4, 492(2022)
Infrared and visible light outdoors image fusion based on convolutional neural network
[1] [1] Scarano A, Inchingolo F, Lorusso F. Facial skin temperature and discomfort when wearing protective face masks: thermal Infrared imaging evaluation and hands moving the mask[J]. International Journal of Environmental Research and Public Health,2020,17(13):4624-4629.
[7] [7] Ma J, Ma Y, Li C. Infrared and visible image fusion methods and applications: a survey[J]. Information Fusion,2019,45(4):153-178.
[10] [10] Xing X, Liu C, Luo C, et al. Infrared and visible image fusion based on nonlinear enhancement and NSST decomposition[J]. EURASIP Journal on Wireless Communications and Networking,2020,1(162):1108-1114.
[15] [15] Raja J, Shanmugam P, Pitchai R. An automated early detection of glaucoma using support vector machine based Visual Geometry Group 19 (VGG-19) convolutional neural network[J]. Wireless Personal Communications,2021,118(3):1-12.
[16] [16] Samek W, Binder A, Montavon G, et al. Evaluating the visualization of what a deep neural network has learned[J]. IEEE Transactions on Neural Networks and Learning Systems,2016,28(11):2660-2673.
[17] [17] Sl A, Zh A, Dl A, et al. Integrating model- and data-driven methods for synchronous adaptive multi-band image fusion[J]. Information Fusion,2020,54(2):145-160.
[18] [18] Xydeas C S, Pv V. Objective image fusion performance measure[J]. Military Technical Courier,2000,56(4):181-193.
[19] [19] Haghighat M B A, Aghagolzadeh A, Seyedarabi H. A non-reference image fusion metric based on mutual information of image features[J]. Computers & Electrical Engineering,2011,37(5):744-756.
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QIU Chunhong. Infrared and visible light outdoors image fusion based on convolutional neural network[J]. Optical Technique, 2022, 48(4): 492
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Received: Dec. 23, 2021
Accepted: --
Published Online: Jan. 20, 2023
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CSTR:32186.14.