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Multiplicative noise removal using primal–dual and reweighted alternating minimization
Multiplicative noise removal is an important research topic in image processing field. An algorithm using reweighted alternating minimization to remove this kind of noise is proposed in our preliminary work. While achieving good results, a small parameter is needed to avoid the denominator vanishing...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4779116/ https://www.ncbi.nlm.nih.gov/pubmed/27006885 http://dx.doi.org/10.1186/s40064-016-1807-3 |