Open Access
| Issue |
ITM Web Conf.
Volume 80, 2025
2025 2nd International Conference on Advanced Computer Applications and Artificial Intelligence (ACAAI 2025)
|
|
|---|---|---|
| Article Number | 01005 | |
| Number of page(s) | 9 | |
| Section | Machine Learning & Deep Learning Algorithms | |
| DOI | https://doi.org/10.1051/itmconf/20258001005 | |
| Published online | 16 December 2025 | |
- K. Zhang, W. Zuo, Y. Chen, D. Meng, L. Zhang, Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising. IEEE Trans. Image Process. 26, 3142–3155 (2017) [Google Scholar]
- P. Chatterjee, P. Milanfar, Is Denoising Dead? IEEE Trans. Image Process. 19, 895–911 (2010) [Google Scholar]
- I. Goodfellow, J. Pouget-Abadie, M. Mirza, et al., Generative Adversarial Nets. Adv. Neural Inf. Process. Syst. (NeurIPS) (2014) [Google Scholar]
- O. Ronneberger, P. Fischer, T. Brox, U-Net: Convolutional Networks for Biomedical Image Segmentation, in Medical Image Computing and Computer-Assisted Intervention (MICCAI), 234–241 (2015) [Google Scholar]
- C. Dong, C.C. Loy, K. He, X. Tang, Image Super-Resolution Using Deep Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 38, 295–307 (2016) [CrossRef] [Google Scholar]
- H.C. Burger, C.J. Schuler, S. Harmeling, Image Denoising: Can Plain Neural Networks Compete with BM3D?, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2392–2399 (2012) [Google Scholar]
- P. Milanfar, A Tour of Modern Image Filtering: New Insights and Methods, Both Practical and Theoretical. IEEE Signal Process. Mag. 30, 106–128 (2013) [Google Scholar]
- K. He, X. Zhang, S. Ren, J. Sun, Deep Residual Learning for Image Recognition, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 770–778 (2016) [Google Scholar]
- D. Pathak, P. Krahenbuhl, J. Donahue, T. Darrell, A.A. Efros, Context Encoders: Feature Learning by Inpainting, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2536–2544 (2016) [Google Scholar]
- S. Lefkimmiatis, Non-local Color Image Denoising with Convolutional Neural Networks, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 3587–3596 (2017). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.