RDGMEF: a multi-exposure image fusion framework based on Retinex decompostion and guided filter
Author:
Funder
Foundation Items: Supported by The National Natural Science Foundation of China
Special Plan for Local Colleges and Universities for Capacity Building
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00521-024-09779-8.pdf
Reference57 articles.
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3. Liu S, Qu L, Qiao Q, Wang M, Song Z (2022) Wavelet-based self-supervised learning for multi-scene image fusion. Neural Comput Appl 34(18):15689–15704. https://doi.org/10.1007/s00521-022-07242-0
4. Ma K, Li H, Yong H, Wang Z, Meng D, Zhang L (2017) Robust multi-exposure image fusion: a structural patch decomposition approach. IEEE Trans Image Process 26(5):2519–2532. https://doi.org/10.1109/TIP.2017.2671921
5. Ma K, Duanmu Z, Zhu H, Fang Y, Wang Z (2019) Deep guided learning for fast multi-exposure image fusion. IEEE Trans Image Process 29:2808–2819. https://doi.org/10.1109/TIP.2019.2952716
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