Abstract
This paper presents a multilevel algorithm specifically designed for radio-interferometric imaging in astronomy. The proposed algorithm is used to solve the uSARA (unconstrained Sparsity Averaging Reweighting Analysis [2]–[4]) formulation of this image restoration problem. Multilevel algorithms rely on a hierarchy of approximations of the objective function to accelerate its optimization. In contrast to the usual multilevel approaches where this hierarchy is derived in the parameter space, here we construct the hierarchy of approximations in the observation space. The proposed approach is compared to a reweighted forward-backward procedure, which is the backbone iteration scheme for solving the uSARA problem.
| Original language | English |
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| Title of host publication | 32nd European Signal Processing Conference (EUSIPCO) |
| Publisher | IEEE |
| Pages | 2287-2291 |
| Number of pages | 5 |
| ISBN (Electronic) | 9789464593617 |
| DOIs | |
| Publication status | Published - 23 Oct 2024 |
| Event | 32nd European Signal Processing Conference 2024 - Lyon, France, Lyon, France Duration: 26 Aug 2024 → 30 Aug 2024 https://eusipcolyon.sciencesconf.org/ https://eurasip.org/Proceedings/Eusipco/Eusipco2024/HTML/index.html |
Conference
| Conference | 32nd European Signal Processing Conference 2024 |
|---|---|
| Abbreviated title | EUSIPCO 2024 |
| Country/Territory | France |
| City | Lyon |
| Period | 26/08/24 → 30/08/24 |
| Internet address |
Keywords
- Multilevel
- astronomy
- dimensionality reduction
- proximal methods
- radio-interferometry
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering