A comprehensive review of image denoising in deep learning
Deep learning has gained significant interest in image denoising, but there are notable distinctions in the types of deep learning methods used. Discriminative learning is suitable for handling Gaussian noise, while optimization models are effective in estimating real noise. However, there is limite...
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| フォーマット: | 論文 |
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Springer
2025
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