An effective reconstructed pyramid crosspoint fusion for multimodal infrared and visible images
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-024-03350-7.pdf
Reference35 articles.
1. Wang, B., Zou, Y., Zhang, L., Li, Y., Chen, Q., Zuo, C.: Multimodal super-resolution reconstruction of infrared and visible images via deep learning. Optics Lasers Eng. 156, 107078 (2022)
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3. Wang, D., Liu, J., Liu, R., Fan, X.: An interactively reinforced paradigm for joint infrared-visible image fusion and saliency object detection. Info. Fusion. 98, 101828 (2023)
4. Jiang, Y., Liu, Y., Zhan, W., Zhu, D.: Improved thermal infrared image super-resolution reconstruction method base on multimodal sensor fusion. Entropy 25, 914 (2023)
5. Rao, D., Xu, T., Wu, X.-J.: TGFUSE: an infrared and visible image fusion approach based on transformer and generative adversarial network. IEEE Trans. Image Process. (2024). https://doi.org/10.1109/TIP.2023.3273451
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