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Patch-based models and algorithms for image denoising: a comparative review between patch-based images denoising methods for additive noise reduction
BACKGROUND: Digital images are captured using sensors during the data acquisition phase, where they are often contaminated by noise (an undesired random signal). Such noise can also be produced during transmission or by poor-quality lossy image compression. Reducing the noise and enhancing the image...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer International Publishing
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961526/ https://www.ncbi.nlm.nih.gov/pubmed/32010201 http://dx.doi.org/10.1186/s13640-017-0203-4 |