Dual strategy for single image denoising and generation using deep neural network
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19753-0.pdf
Reference20 articles.
1. Chang M, Li Q, Feng H, Xu Z (2020) Spatial-adaptive network for single image denoising. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXX 16 (pp. 171–187). Springer International Publishing
2. Ghose S, Singh N, Singh P (2020) January. Image denoising using deep learning: Convolutional neural network. In 2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 511–517). IEEE
3. Abdelhamed A, Lin S, Brown MS (2018) A high-quality denoising dataset for smartphone cameras. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 1692–1700)
4. Ilesanmi AE, Ilesanmi TO (2021) Methods for image denoising using convolutional neural network: a review. Complex Intell Syst 7(5):2179–2198
5. Marras I, Chrysos GG, Alexiou I, Slabaugh G, Zafeiriou S (2020) Reconstructing the noise manifold for image denoising. arXiv preprint arXiv:2002.04147
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