Combined First and Second Order Total Variation Inpainting using Split Bregman

Handle URI:
http://hdl.handle.net/10754/596988
Title:
Combined First and Second Order Total Variation Inpainting using Split Bregman
Authors:
Papafitsoros, Konstantinos; Schoenlieb, Carola Bibiane; Sengul, Bati
Abstract:
In this article we discuss the implementation of the combined first and second order total variation inpainting that was introduced by Papafitsoros and Schdönlieb. We describe the algorithm we use (split Bregman) in detail, and we give some examples that indicate the difference between pure first and pure second order total variation inpainting.
Citation:
Papafitsoros K, Schoenlieb CB, Sengul B (2013) Combined First and Second Order Total Variation Inpainting using Split Bregman. Image Processing On Line 3: 112–136. Available: http://dx.doi.org/10.5201/ipol.2013.40.
Publisher:
Image Processing On Line
Journal:
Image Processing On Line
KAUST Grant Number:
KUK-I1-007-43
Issue Date:
12-Jul-2013
DOI:
10.5201/ipol.2013.40
Type:
Article
ISSN:
2105-1232
Sponsors:
All three authors acknowledge the financial support provided by the Cambridge Centre for Analysis (CCA) funded by the UK Engineering and Physical Sciences Research Council (EPSRC) grant EP/H023348/1. The first and third author also acknowledge the financial support of the Royal Society International Exchanges Award IE110314 for the project \High-order Compressed Sensing for Medical Imaging", the EPSRC / Isaac Newton Trust Small Grant \Non-smooth geometric reconstruction for high resolution MRI imaging of fluid transport in bed reactors" and the EPSRC first grant Nr. EP/J009539/1 \Sparse & Higher-order Image Restoration". Further, this publication is based on work supported by Award No. KUK-I1-007-43, made by King Abdullah University of Science and Technology (KAUST).
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorPapafitsoros, Konstantinosen
dc.contributor.authorSchoenlieb, Carola Bibianeen
dc.contributor.authorSengul, Batien
dc.date.accessioned2016-02-23T13:51:55Zen
dc.date.available2016-02-23T13:51:55Zen
dc.date.issued2013-07-12en
dc.identifier.citationPapafitsoros K, Schoenlieb CB, Sengul B (2013) Combined First and Second Order Total Variation Inpainting using Split Bregman. Image Processing On Line 3: 112–136. Available: http://dx.doi.org/10.5201/ipol.2013.40.en
dc.identifier.issn2105-1232en
dc.identifier.doi10.5201/ipol.2013.40en
dc.identifier.urihttp://hdl.handle.net/10754/596988en
dc.description.abstractIn this article we discuss the implementation of the combined first and second order total variation inpainting that was introduced by Papafitsoros and Schdönlieb. We describe the algorithm we use (split Bregman) in detail, and we give some examples that indicate the difference between pure first and pure second order total variation inpainting.en
dc.description.sponsorshipAll three authors acknowledge the financial support provided by the Cambridge Centre for Analysis (CCA) funded by the UK Engineering and Physical Sciences Research Council (EPSRC) grant EP/H023348/1. The first and third author also acknowledge the financial support of the Royal Society International Exchanges Award IE110314 for the project \High-order Compressed Sensing for Medical Imaging", the EPSRC / Isaac Newton Trust Small Grant \Non-smooth geometric reconstruction for high resolution MRI imaging of fluid transport in bed reactors" and the EPSRC first grant Nr. EP/J009539/1 \Sparse & Higher-order Image Restoration". Further, this publication is based on work supported by Award No. KUK-I1-007-43, made by King Abdullah University of Science and Technology (KAUST).en
dc.publisherImage Processing On Lineen
dc.rightsIPOL & the authors CC-BY-NC-SAen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en
dc.titleCombined First and Second Order Total Variation Inpainting using Split Bregmanen
dc.typeArticleen
dc.identifier.journalImage Processing On Lineen
dc.contributor.institutionCambridge Centre for Analysis, University of Cambridge, UKen
kaust.grant.numberKUK-I1-007-43en
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