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Image Denoising Using Sparsifying Transform Learning and Weighted Singular Values Minimization
In image denoising (IDN) processing, the low-rank property is usually considered as an important image prior. As a convex relaxation approximation of low rank, nuclear norm-based algorithms and their variants have attracted a significant attention. These algorithms can be collectively called image d...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439773/ https://www.ncbi.nlm.nih.gov/pubmed/32849865 http://dx.doi.org/10.1155/2020/8392032 |