Multi-Channel and Multi-Model-Based Autoencoding Prior for Grayscale Image Restoration
Image restoration (IR) is a long-standing challenging problem in low-level image processing. It is of utmost importance to learn good image priors for pursuing visually pleasing results. In this paper, we develop a multi-channel and multi-model-based denoising autoencoder network as image prior for...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 29(2020) vom: 30., Seite 142-156
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| Auteur principal: |
Li, Sanqian
(Auteur) |
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| Autres auteurs: |
Qin, Binjie,
Xiao, Jing,
Liu, Qiegen,
Wang, Yuhao,
Liang, Dong |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2020
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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