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Color Image Restoration Using Sub-Image Based Low-Rank Tensor Completion
Many restoration methods use the low-rank constraint of high-dimensional image signals to recover corrupted images. These signals are usually represented by tensors, which can maintain their inherent relevance. The image of this simple tensor presentation has a certain low-rank property, but does no...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919421/ https://www.ncbi.nlm.nih.gov/pubmed/36772745 http://dx.doi.org/10.3390/s23031706 |