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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Xudong, Bi, Yingzhou, Feng, Xiangchu, Huo, Leigang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Research
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

Internet

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

Ejemplares similares