The Augmented Lagrange Multipliers Method for Matrix Completion from Corrupted Samplings with Application to Mixed Gaussian-Impulse Noise Removal

This paper studies the problem of the restoration of images corrupted by mixed Gaussian-impulse noise. In recent years, low-rank matrix reconstruction has become a research hotspot in many scientific and engineering domains such as machine learning, image processing, computer vision and bioinformati...

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Detalles Bibliográficos
Autores principales: Meng, Fan, Yang, Xiaomei, Zhou, Chenghu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4172684/
https://www.ncbi.nlm.nih.gov/pubmed/25248103
http://dx.doi.org/10.1371/journal.pone.0108125

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4172684/
https://www.ncbi.nlm.nih.gov/pubmed/25248103
http://dx.doi.org/10.1371/journal.pone.0108125

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