Journal of Atmospheric and Environmental Optics, Volume. 18, Issue 5, 469(2023)
Infrared and visible images fusion with spatial multiscale residual networks
Figures & Tables(6)
Fig. 1. Comparison of residual network structure before and after improvement. (a) Original residual network structure；(b) improve residual network structure
Fig. 3. Spatial multi-scale attention network structure based on infrared images
Fig. 5. Loss function curve. (a) Loss of SSIM; (b) loss of MSE; (c) loss of gradient; (d) total loss
Table 1. Objective evaluation results of comparative experiments
View tableView in ArticleTable 1. Objective evaluation results of comparative experiments
Index DenseFuse DBN FusionGAN DDcGAN SMSRN SD 24.40 26.34 31.47 45.77 51.68 AG 2.97 3.04 2.67 5.59 8.24 SSIM 0.63 0.71 0.62 0.57 0.73 EN 6.34 6.57 6.64 7.35 7.69 SCD 1.33 1.59 1.16 1.51 1.76 Time/s 0.26 0.14 0.51 0.82 0.32
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Yimen ZHANG, Weiguo LIN. Infrared and visible images fusion with spatial multiscale residual networks[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(5): 469
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Received: Feb. 17, 2022
Accepted: --
Published Online: Dec. 1, 2023
The Author Email: LIN Weiguo (linwg@mail.buct.edu.can)
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