TY - GEN
T1 - Limited memory switched Broyden method for faster image deblurring
AU - Haelterman, Rob
AU - Lahouli, Ichraf
AU - Shimoni, Michal
AU - Degroote, Joris
N1 - Publisher Copyright:
© 2017 MVA Organization All Rights Reserved.
PY - 2017/7/19
Y1 - 2017/7/19
N2 - Iterative methods have gained a solid reputation for efficient image restoration, for both spatially invariant and spatially variant blurs. This paper shows how a 'strap-on' quasi-Newton Broyden method can further accelerate the convergence of these iterative methods with little extra overhead.
AB - Iterative methods have gained a solid reputation for efficient image restoration, for both spatially invariant and spatially variant blurs. This paper shows how a 'strap-on' quasi-Newton Broyden method can further accelerate the convergence of these iterative methods with little extra overhead.
UR - https://www.scopus.com/pages/publications/85027856820
U2 - 10.23919/MVA.2017.7986877
DO - 10.23919/MVA.2017.7986877
M3 - Conference contribution
AN - SCOPUS:85027856820
T3 - Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017
SP - 366
EP - 369
BT - Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IAPR International Conference on Machine Vision Applications, MVA 2017
Y2 - 8 May 2017 through 12 May 2017
ER -