Quantum-inspired adaptive loss detection and real-time image restoration for live optical quantum image transmission
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11082-023-05859-6.pdf
Reference13 articles.
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2. Fan, G., Hua, Z., Li, J.: Multi-scale depth information fusion network for image de-hazing. Appl. Intell. 51, 7262–7280 (2021)
3. Guo, T.; Monga, V. 2020 Reinforced depth-aware deep learning for single image de-hazing. In Proceedings of the ICASSP 2020—2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 4–8 May pp. 8891–8895.
4. He, Z, and Patel, VM densely connected pyramid de-hazing network, Proc.IEEE Conference on Computer Vision & Pattern Recognition, 2018.
5. Kachhoria, R., Jaiswal, S., Khairnar, S., Rajeswari, K., Pede, S., Kharat, R., Galande, S., Khadse, C.: Lie group deep learning technique to identify the precision errors by map geometry functions in smart manufacturing. Int. J. Adv. Manuf. Technol. (2023). https://doi.org/10.1007/s00170-023-10834-2
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