Cargando…
Blind Image Inpainting with Mixture Noise Using ℓ(0) and Total Regularization
The blind image inpainting problem need to be handle when faced with a large number of images, especially medical images in medical health. For the proposed nonconvex sparse optimization model, a proximal based alternating direction method of multipliers (PADMM) method is designed to solve the probl...
Autores principales: | Xu, Xiaowei, Geng, Shiqi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553350/ https://www.ncbi.nlm.nih.gov/pubmed/36238477 http://dx.doi.org/10.1155/2022/3180612 |
Ejemplares similares
-
Image Inpainting Methods Evaluation and Improvement
por: Vreja, Raluca, et al.
Publicado: (2014) -
Non-Local and Multi-Scale Mechanisms for Image Inpainting
por: He, Xu, et al.
Publicado: (2021) -
An Automatic Image Inpainting Algorithm Based on FCM
por: Liu, Jiansheng, et al.
Publicado: (2014) -
Inpainting and denoising challenges
por: Escalera, Sergio, et al.
Publicado: (2019) -
Accelerating 3D single-molecule localization microscopy using blind sparse inpainting
por: Gaire, Sunil Kumar, et al.
Publicado: (2021)