Delli Veneri, M. (2024) Deep Focus ---A meta-learner solving inverse problems based on Deep Learning: Applications to Radio Interferometry. Il nuovo cimento C, 47 (5). pp. 1-4. ISSN 1826-9885
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Abstract
We present Deep Focus (DF) results on the ALMA image deconvolution problem for point-like sources. We compare DF reconstruction capabilities and execution times with those of CLEAN and other Deep Learning algorithms, showing improvements in reconstruction capabilities with respect to both, and an average speed-up factor of 280 with respect to CLEAN.
| Item Type: | Article |
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| Subjects: | 500 Scienze naturali e Matematica > 530 Fisica |
| Depositing User: | Marina Spanti |
| Date Deposited: | 10 Jan 2025 11:55 |
| Last Modified: | 10 Jan 2025 11:55 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/23318 |
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