Optics and Precision Engineering, Volume. 32, Issue 7, 1101(2024)
Infrared and visible images fusion based on improved multi-scale structural fusion
[1] KARIM S, TONG G, LI J Y et al. Current advances and future perspectives of image fusion: a comprehensive review[J]. Information Fusion, 90, 185-217(2023).
[2] TANG L F, XIANG X Y, ZHANG H et al. DIVFusion: darkness-free infrared and visible image fusion[J]. Information Fusion, 91, 477-493(2023).
[3] ZHANG X C. Deep learning-based multi-focus image fusion: a survey and a comparative study[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44, 4819-4838(2022).
[4] [4] 唐霖峰, 张浩, 徐涵, 等. 基于深度学习的图像融合方法综述[J]. 中国图象图形学报, 2023, 28(1): 3-36. doi: 10.11834/jig.220422TANGL F, ZHANGH, XUH, et al. Deep learning-based image fusion: a survey[J]. Journal of Image and Graphics, 2023, 28(1): 3-36.(in Chinese). doi: 10.11834/jig.220422
[5] LI G F, LIN Y J, QU X D. An infrared and visible image fusion method based on multi-scale transformation and norm optimization[J]. Information Fusion, 71, 109-129(2021).
[6] YANG X, HUO H T, LI J et al. DSG-Fusion: infrared and visible image fusion via generative adversarial networks and guided filter[J]. Expert Systems with Applications, 200, 116905(2022).
[7] TAN W, TIWARI P, PANDEY H M et al. Multimodal medical image fusion algorithm in the era of big data[J]. Neural Computing and Applications(2020).
[8] [8] 杨艳春, 李永萍, 党建武, 等. 基于快速交替引导滤波和CNN的红外与可见光图像融合[J]. 光学 精密工程, 2023, 31(10): 1548-1562. doi: 10.37188/ope.20233110.1548YANGY CH, LIY P, DANGJ W, et al. Infrared and visible image fusion based on fast alternating guided filtering and CNN[J]. Optics and Precision Engineering, 2023, 31(10): 1548-1562.(in Chinese). doi: 10.37188/ope.20233110.1548
[9] LI H, WU X J, KITTLER J. MDLatLRR: a novel decomposition method for infrared and visible image fusion[J]. IEEE Transactions on Image Processing(2020).
[10] MA K D, LI H, YONG H W et al. Robust multi-exposure image fusion: a structural patch decomposition approach[J]. IEEE Transactions on Image Processing, 26, 2519-2532(2017).
[11] BAVIRISETTI D P, DHULI R. Two-scale image fusion of visible and infrared images using saliency detection[J]. Infrared Physics and Technology, 76, 52-64(2016).
[12] YAN H, ZHANG J X, ZHANG X F. Injected infrared and visible image fusion via L1 decomposition model and guided filtering[J]. IEEE Transactions on Computational Imaging, 8, 162-173(2022).
[13] [13] 闵莉, 曹思健, 赵怀慈, 等. 改进生成对抗网络实现红外与可见光图像融合[J]. 红外与激光工程, 2022, 51(4): 3788/IRLA20210291.MINL, CAOS J, ZHAOH C, et al. Infrared and visible image fusion using improved generative adversarial networks[J]. Infrared and Laser Engineering, 2022, 51(4): 3788/IRLA20210291.(in Chinese)
[14] ZHOU Z Q, DONG M J, XIE X Z et al. Fusion of infrared and visible images for night-vision context enhancement[J]. Applied Optics, 55, 6480-6490(2016).
[15] ZHAO Z X, XU S, ZHANG C X et al. Bayesian fusion for infrared and visible images[J]. Signal Processing, 177, 107734(2020).
[16] LIU Y, CHEN X, CHENG J et al. Infrared and visible image fusion with convolutional neural networks[J]. International Journal of Wavelets, Multiresolution and Information Processing, 16, 1850018(2018).
[17] LI H, QI X, XIE W. Fast infrared and visible image fusion with structural decomposition[J]. Knowledge-Based Systems, 204, 106182(2020).
[18] CHEN J, LI X J, WU K L. Infrared and visible image fusion based on relative total variation decomposition[J]. Infrared Physics & Technology, 123, 104112(2022).
[19] CUI G M, FENG H J, XU Z H et al. Detail preserved fusion of visible and infrared images using regional saliency extraction and multi-scale image decomposition[J]. Optics Communications, 341, 199-209(2015).
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Zhiliang LONG, Yueming DENG, Jing XIE, Runmin WANG. Infrared and visible images fusion based on improved multi-scale structural fusion[J]. Optics and Precision Engineering, 2024, 32(7): 1101
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Received: Sep. 18, 2023
Accepted: --
Published Online: May. 28, 2024
The Author Email: Yueming DENG (dengyueming@hunnu.edu.cn)