Edge-guided second-order total generalized variation for Gaussian noise removal from depth map

Total generalized variation models have recently demonstrated high-quality denoising capacity for single image. In this paper, we present an accurate denoising method for depth map. Our method uses a weighted second-order total generalized variational model for Gaussian noise removal. By fusing an e...

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Detalles Bibliográficos
Autores principales: Li, Shuaihao, Zhang, Bin, Yang, Xinfeng, Zhu, Weiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530766/
https://www.ncbi.nlm.nih.gov/pubmed/33004951
http://dx.doi.org/10.1038/s41598-020-73342-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530766/
https://www.ncbi.nlm.nih.gov/pubmed/33004951
http://dx.doi.org/10.1038/s41598-020-73342-3

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