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Samenvatting
Video surveillance from airborne platforms can suffer from many sources of blur, like vibration, low-end optics, uneven lighting conditions, etc. Many different algorithms have been developed in the past that aim to recover the deblurred image but often incur substantial CPU-time, which is not always available on-board. This paper shows how a "strap-on" quasi-Newton method can accelerate the convergence of existing iterative methods with little extra overhead while keeping the performance of the original algorithm, thus paving the way for (near) real-time applications using on-board processing.
Originele taal-2 | Engels |
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Pagina's (van-tot) | 1288-1295 |
Aantal pagina's | 8 |
Tijdschrift | IEICE Transactions on Information and Systems |
Volume | E101D |
Nummer van het tijdschrift | 5 |
DOI's | |
Status | Gepubliceerd - mei 2018 |
Vingerafdruk
Duik in de onderzoeksthema's van 'Accelerating existing non-blind image deblurring techniques through a strap-on limited-memory switched Broyden method'. Samen vormen ze een unieke vingerafdruk.Projecten
- 1 Afgelopen
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SafeShore: System for detection of Threat Agents in Maritime Border Environment
Rabet, L. (Promotor), Basak, S. (Onderzoeker), De cubber, G. (Onderzoeker) & Doroftei, L. (Onderzoeker)
1/05/16 → 31/12/18
Project: Onderzoek