IEICE TRANSACTIONS on Information
Accelerating Existing Non-Blind Image Deblurring Techniques through a Strap-On Limited-Memory Switched Broyden Method
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E101-D No.5 pp.1288-1295
- Publication Date
- 2018/05/01
- Publicized
- 2018/02/16
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2017MVP0022
- Type of Manuscript
- Special Section PAPER (Special Section on Machine Vision and its Applications)
- Category
- Machine Vision and its Applications
Authors
Ichraf LAHOULI
Royal Military Academy,Military Academy of Tunisia,Tunisia Polytechnic School
Robby HAELTERMAN
Royal Military Academy
Joris DEGROOTE
Ghent University
Michal SHIMONI
Royal Military Academy
Geert DE CUBBER
Royal Military Academy
Rabah ATTIA
Tunisia Polytechnic School
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Ichraf LAHOULI, Robby HAELTERMAN, Joris DEGROOTE, Michal SHIMONI, Geert DE CUBBER, Rabah ATTIA, "Accelerating Existing Non-Blind Image Deblurring Techniques through a Strap-On Limited-Memory Switched Broyden Method" in IEICE TRANSACTIONS on Information,
vol. E101-D, no. 5, pp. 1288-1295, May 2018, doi: 10.1587/transinf.2017MVP0022.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2017MVP0022/_p
Copy
@ARTICLE{e101-d_5_1288,
author={Ichraf LAHOULI, Robby HAELTERMAN, Joris DEGROOTE, Michal SHIMONI, Geert DE CUBBER, Rabah ATTIA, },
journal={IEICE TRANSACTIONS on Information},
title={Accelerating Existing Non-Blind Image Deblurring Techniques through a Strap-On Limited-Memory Switched Broyden Method},
year={2018},
volume={E101-D},
number={5},
pages={1288-1295},
abstract={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.},
keywords={},
doi={10.1587/transinf.2017MVP0022},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - Accelerating Existing Non-Blind Image Deblurring Techniques through a Strap-On Limited-Memory Switched Broyden Method
T2 - IEICE TRANSACTIONS on Information
SP - 1288
EP - 1295
AU - Ichraf LAHOULI
AU - Robby HAELTERMAN
AU - Joris DEGROOTE
AU - Michal SHIMONI
AU - Geert DE CUBBER
AU - Rabah ATTIA
PY - 2018
DO - 10.1587/transinf.2017MVP0022
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2018
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.
ER -
English
