[1] LI Shutao, KANG Xudong, FANG Leyuan, et al. Pixel-level image fusion: a survey of the state of the art[J]. Information Fusion, 2017, 33(1): 100-
[4] LIU Y, LIU S, WANG Z. A general framework for image fusion based on multi-scale transform and sparse representation[J]. Information Fusion, 2015, 24: 147-164.
[6] ZHAO W D, LU H C. Medical image fusion and denoising with altering sequential filter and adaptive fractional order total variation[J]. IEEE Transactions on Instrumentation and Measurement, 2017, 66(9) : 2283-2294
[8] ZHOU Z Q, WANG B, LI S, et al. Perceptual fusion of infrared and visible images through a hybrid multiscale decomposition with Gaussian and bilateral filters[J]. Information Fusion, 2016, 30(30): 15-26.
[15] HUANG W, JING Z L. Evaluation of focus measures in multi-foucus image fusion[J]. Pattern Recognition Letters, 2007, 28(4): 493-500
[16] Bavirisetti D P, XIAO G, ZHAO J, et al. Multi-scale guided image and video fusion: a fast and efficient approach[J]. Circuits Syst Signal Process, 2019, 38: 5576–5605.
[17] 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: 16-25.
[18] CHEN J, LI X J, LUO L B, et al. Infrared and visible image fusion based on target-enhanced multiscale transform decomposition[J]. Information Sciences, 2020, 508: 64-78.
[19] ZHANG Y, ZHANG L J, BAI X Z, et al. Infrared and visual image fusion through infrared feature extraction and visual information preservation[J]. Infrared Physics and Technology, 2017, 83: 227-237.