An Adaptive Hierarchical Concatenated Network With A Robust Loss Function For Image Denoising
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10723-022-09601-6.pdf
Reference55 articles.
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2. Chen, S., Chen, S., Guo, Z., Zuo, Y.: Low-resolution palmprint image denoising by generative adversarial networks. Neurocomputing 358, 275–284. https://doi.org/10.1016/j.neucom.2019.05.046 (2019)
3. Sharmila, T.S., Ramar, K.: Efficient analysis of hybrid directional lifting technique for satellite image denoising. Signal Image Video Process. 8(7), 1399–1404 (2014). https://doi.org/10.1007/s11760-012-0369-2
4. Hu, Y.: Design and implementation of abnormal behavior detection based on deep intelligent analysis algorithms in massive video surveillance. J. Grid Comput. 18(2), 227–237 (2020). https://doi.org/10.1007/s10723-020-09506-2
5. Liu, S., Liu, M., Li, P., Zhao, J., Zhu, Z., Wang, X.: Sar image denoising via sparse representation in shearlet domain based on continuous cycle spinning. IEEE Trans. Geosci. Remote Sens. 55(5), 2985–2992 (2017). https://doi.org/10.1109/TGRS.2017.2657602
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