Cargando…
A weighted denoising method based on Bregman iterative regularization and gradient projection algorithms
A weighted Bregman-Gradient Projection denoising method, based on the Bregman iterative regularization (BIR) method and Chambolle’s Gradient Projection method (or dual denoising method) is established. Some applications to image denoising on a 1-dimensional curve, 2-dimensional gray image and 3-dime...
Autor principal: | Tong, Beilei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680392/ https://www.ncbi.nlm.nih.gov/pubmed/29200790 http://dx.doi.org/10.1186/s13660-017-1551-4 |
Ejemplares similares
-
Reconstruction Method for Optical Tomography Based on the Linearized Bregman Iteration with Sparse Regularization
por: Leng, Chengcai, et al.
Publicado: (2015) -
Robust Acoustic Imaging Based on Bregman Iteration and Fast Iterative Shrinkage-Thresholding Algorithm
por: Huang, Linsen, et al.
Publicado: (2020) -
MR Image Reconstruction Based on Iterative Split Bregman Algorithm and Nonlocal Total Variation
por: Gopi, Varun P., et al.
Publicado: (2013) -
Application of Generalized Split Linearized Bregman Iteration algorithm for Alzheimer's disease prediction
por: Zheng, Weimin, et al.
Publicado: (2020) -
Improved Reconstruction Quality of Bioluminescent Images by Combining SP(3) Equations and Bregman Iteration Method
por: Wu, Qiang, et al.
Publicado: (2013)