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Edge-guided second-order total generalized variation for Gaussian noise removal from depth map
Total generalized variation models have recently demonstrated high-quality denoising capacity for single image. In this paper, we present an accurate denoising method for depth map. Our method uses a weighted second-order total generalized variational model for Gaussian noise removal. By fusing an e...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530766/ https://www.ncbi.nlm.nih.gov/pubmed/33004951 http://dx.doi.org/10.1038/s41598-020-73342-3 |