Accelerating existing non-blind image deblurring techniques through a strap-on limited-memory switched Broyden method

Ichraf Lahouli; Robby Haelterman; Joris Degroote; Michal Shimoni; Geert De Cubber; Rabah Attia

doi:10.1587/transinf.2017MVP0022

Accelerating existing non-blind image deblurring techniques through a strap-on limited-memory switched Broyden method

Ichraf Lahouli, Robby Haelterman, Joris Degroote, Michal Shimoni, Geert De Cubber, Rabah Attia

Onderzoeksoutput: Bijdrage aan een tijdschrift › Artikel › peer review

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
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	https://doi.org/10.1587/transinf.2017MVP0022
Status	Gepubliceerd - mei 2018

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10.1587/transinf.2017MVP0022

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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

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AU - Shimoni, Michal

AU - De Cubber, Geert

AU - Attia, Rabah

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AB - 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.

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Accelerating existing non-blind image deblurring techniques through a strap-on limited-memory switched Broyden method

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SafeShore: System for detection of Threat Agents in Maritime Border Environment

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