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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Accesso online: | https://arxiv.org/abs/2411.08292 |
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| _version_ | 1866929589508374528 |
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| author | Gilles, Jerome |
| author_facet | Gilles, Jerome |
| contents | These last few years, image decomposition algorithms have been proposed to split an image into two parts: the structures and the textures. These algorithms are not adapted to the case of noisy images because the textures are corrupted by noise. In this paper, we propose a new model which decomposes an image into three parts (structures, textures and noise) based on a local regularization scheme. We compare our results with the recent work of Aujol and Chambolle. We finish by giving another model which combines the advantages of the two previous ones. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_08292 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Noisy image decomposition: a new structure, texture and noise model based on local adaptivity Gilles, Jerome Computer Vision and Pattern Recognition Image and Video Processing Functional Analysis These last few years, image decomposition algorithms have been proposed to split an image into two parts: the structures and the textures. These algorithms are not adapted to the case of noisy images because the textures are corrupted by noise. In this paper, we propose a new model which decomposes an image into three parts (structures, textures and noise) based on a local regularization scheme. We compare our results with the recent work of Aujol and Chambolle. We finish by giving another model which combines the advantages of the two previous ones. |
| title | Noisy image decomposition: a new structure, texture and noise model based on local adaptivity |
| topic | Computer Vision and Pattern Recognition Image and Video Processing Functional Analysis |
| url | https://arxiv.org/abs/2411.08292 |