Deep-blur: Blind identification and deblurring with convolutional neural networks
We propose a neural network architecture and a training procedure to estimate blurring operators and deblur images from a single degraded image. Our key assumption is that the forward operators can be parameterized by a low-dimensional vector. The models we consider include a description of the poin...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2024-01-01
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| Series: | Biological Imaging |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2633903X24000096/type/journal_article |
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