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PRINCIPAL COMPONENTS FOR NON-LOCAL MEANS IMAGE DENOISING
This paper presents an image denoising algorithm that uses principal component analysis (PCA) in conjunction with the non-local means image denoising. Image neighborhood vectors used in the non-local means algorithm are first projected onto a lower-dimensional subspace using PCA. Consequently, neigh...
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| Auteur principal: | |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2008
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| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2631181/ https://ncbi.nlm.nih.gov/pubmed/19180227 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICIP.2008.4712108 |
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