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Regularization by Denoising: Clarifications and New Interpretations
Regularization by Denoising (RED), as recently proposed by Romano, Elad, and Milanfar, is powerful image-recovery framework that aims to minimize an explicit regularization objective constructed from a plug-in image-denoising function. Experimental evidence suggests that the RED algorithms are state...
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| Pubblicato in: | IEEE Trans Comput Imaging |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6801116/ https://ncbi.nlm.nih.gov/pubmed/31633003 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TCI.2018.2880326 |
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