A Contrastive Learning Approach for Infrared-Visible Image Fusion
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-45170-6_21
Reference23 articles.
1. Ma, J., Ma, Y., Li, C.: Infrared and visible image fusion methods and applications: a survey. Inf. Fusion 45, 153–178 (2019)
2. Bavirisetti, D.P., Dhuli, R.: Two-scale image fusion of visible and infrared images using saliency detection. Infrared Phys. Technol. 76, 52–64 (2016)
3. Wang, X., Yin, J., Zhang, K., Li, S., Yan, J.: Infrared weak-small targets fusion based on latent low-rank representation and DWT. IEEE Access 7, 112 681–112 692 (2019)
4. Yang, Y., et al.: Infrared and visible image fusion based on infrared background suppression. Opt. Lasers Eng. 164, 107528 (2023)
5. Li, H., Wu, X.-J.: DenseFuse: a fusion approach to infrared and visible images. IEEE Trans. Image Process. 28(5), 2614–2623 (2018)
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