Name
Abstract | ||
|---|---|---|
The Plug-and-Play (PnP) alternating direction method of multiplier (ADMM) algorithm is a powerful image restoration framework that allows advanced image denoising priors to be integrated into physical forward models to generate high-quality image restoration results. However, despite the enormous number of applications and several theoretical studies trying to prove convergence by leveraging tools... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCI.2019.2892123 | IEEE Transactions on Computational Imaging |
Keywords | Field | DocType |
Convergence,Noise reduction,Symmetric matrices,Signal processing algorithms,Optimization,Noise measurement,Image restoration | Convergence (routing),Mathematical optimization,Noise measurement,Symmetric matrix,Multiplier (economics),Smoothing,Image restoration,Prior probability,Convex analysis,Mathematics | Journal |
Volume | Issue | ISSN |
5 | 2 | 2573-0436 |
Citations | PageRank | References |
1 | 0.35 | 21 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stanley H. Chan | 1 | 403 | 30.95 |