Limited memory switched Broyden method for faster image deblurring

Rob Haelterman, Ichraf Lahouli, Michal Shimoni, Joris Degroote

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages366-369
Number of pages4
ISBN (Electronic)9784901122160
DOIs
Publication statusPublished - 19 Jul 2017
Event15th IAPR International Conference on Machine Vision Applications, MVA 2017 - Nagoya, Japan
Duration: 8 May 201712 May 2017

Publication series

NameProceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017

Conference

Conference15th IAPR International Conference on Machine Vision Applications, MVA 2017
Country/TerritoryJapan
CityNagoya
Period8/05/1712/05/17

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