Journal of Optoelectronics · Laser, Volume. 35, Issue 9, 952(2024)
Infrared and visible image fusion combining image enhancement and multiscale decomposition
[1] [1] ZHANG X C, PING Y, XIAO G. VIFB: A visible and infrared image fusion benchmark[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, June 14-19, 2020, Seattle, WA, USA. New York: IEEE, 2020:104-105.
[2] [2] LI X X, GUO X, HAN P, et al. Laplacian redecomposition for multimodal medical image fusion[J]. IEEE Transactions on Instrumentation and Measurement, 2020, 69(9): 6880-6890.
[3] [3] LIU Y, WANG L, CHENG J, et al. Multi-focus image fusion: A survey of the state of the art[J]. Information Fusion, 2020, 64:71-91.
[4] [4] MA J, YU W, CHEN C, et al. Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion[J]. Information Fusion, 2020, 62:110-120.
[5] [5] XU H, MA J, ZHANG X P. MEF-GAN: Multi-exposure image fusion via generative adversarial networks[J]. IEEE Transactions on Image Processing, 2020, 29:7203-7216.
[6] [6] XU H, WANG X, MA J. DRF: Disentangled representation for visible and infrared image fusion[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70:1-13.
[7] [7] BHUTTO J A, LIAN F T, DU Q, et al. An enhanced image fusion algorithm by combined histogram equalization and fast gray level grouping using multi-scale decomposition angray-PCA[J]. IEEE Access, 2020, 8:157005-157021.
[8] [8] ZHANG Q, LIU Y, BLUM R S, et al. Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review[J]. Information Fusion, 2018, 40:57-75.
[9] [9] MA J, YU W, LIANG P, et al. FusionGAN: A generative adversarial network for infrared and visible image fusion[J]. Information Fusion, 2019, 48:11-26.
[10] [10] BAVIRISETTI D P, XIAO G, LIU G. Multi-sensor image fusion based on fourth order partial differential equations[C]//2017 20th International Conference on Information Fusion, July 10-13, 2017, Xi'an, China. New York: IEEE, 2017:1-9.
[11] [11] YIN M, DUAN P, LIU W, et al. A novel infrared and visible image fusion algorithm based on shift-invariant dual-tree complex shearlet transform and sparse representation[J]. Neurocomputing, 2017, 226:182-191.
[12] [12] ZHOU Z, DONG M, XIE X, et al. Fusion of infrared and visible images for night-vision context enhancement[J]. Applied Optics, 2016, 55(23): 6480-6490.
[13] [13] 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.
[14] [14] BAVIRISETTI D P, XIAO G, ZHAO J, et al. Multi-scale guided image and video fusion: A fast and efficient approach[J]. Circuits, Systems, and Signal Processing, 2019, 38:5576-5605.
[15] [15] LUO Y, HE K, XU D, et al. Infrared and visible image fusion based on visibility enhancement and norm optimization low-rank representation[J]. Journal of Electronic Imaging, 2022, 31(1): 013032.
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LUO Ning, XIU Jihong, YANG Xue. Infrared and visible image fusion combining image enhancement and multiscale decomposition[J]. Journal of Optoelectronics · Laser, 2024, 35(9): 952
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Received: Feb. 3, 2023
Accepted: Dec. 20, 2024
Published Online: Dec. 20, 2024
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