A Fast Barzilai-Borwein Gradient Projection for Sparse Reconstruction Algorithm Based on 3D Modeling: Application to ERT Imaging
Image reconstruction for electrical resistance tomography (ERT) is an ill-posed inverse problem. L<sub>1</sub> regularization is used to solve the inverse problem. An effective method of Barzilai-Borwein gradient projection for sparse reconstruction (GPSR-BB) can resolve the inverse prob...
Guardado en:
Autores principales: | Shouxiao Li, Huaxiang Wang, Tonghai Liu, Ziqiang Cui, Joanna N. Chen, Zihan Xia |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/1815e09e31da4b06882b344c7fe635e4 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Plug-and-Play ADMM for MRI Reconstruction With Convex Nonconvex Sparse Regularization
por: Jincheng Li, et al.
Publicado: (2021) -
Sparse Reconstruction for Near-Field MIMO Radar Imaging Using Fast Multipole Method
por: Emre A. Miran, et al.
Publicado: (2021) -
Magnetic susceptibility inversion method with full tensor gradient data using low-temperature SQUIDs
por: Yan-Fei Wang, et al.
Publicado: (2019) -
Reduced-Reference Stereoscopic Image Quality Assessment Using Gradient Sparse Representation and Structural Degradation
por: Jian Ma, et al.
Publicado: (2021) -
A Sparse Transformer-Based Approach for Image Captioning
por: Zhou Lei, et al.
Publicado: (2020)