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Supporting Material for Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation

dc.contributor.authorEhrhardt, MJ
dc.contributor.authorBungert, Leon
dc.contributor.authorCoomes, David
dc.contributor.authorSchoenlieb, C
dc.contributor.authorRasch, Jennifer
dc.contributor.authorReisenhofer, Rafael
dc.contributor.orcidEhrhardt, Matthias [0000-0001-8523-353X]
dc.contributor.orcidSchoenlieb, Carola-Bibiane [0000-0003-0099-6306]
dc.date.accessioned2017-12-20T14:00:26Z
dc.date.available2017-12-20T14:00:26Z
dc.description.abstractThis software allows to reproduce all results from the accompanying paper. It is written in MATLAB and can be executed on a standard desktop with standard amount of RAM.
dc.identifier.doi10.17863/CAM.17104
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/270276
dc.language.isoeng
dc.rightsGNU General Public License v3.0
dc.rightsGNU General Public License v3.0
dc.rights.urihttps://www.gnu.org/licenses/gpl-3.0.en.html
dc.rights.urihttps://www.gnu.org/licenses/gpl-3.0.en.html
dc.subjectremote sensing
dc.subjectsuper-resolution
dc.subjectpansharpening
dc.subjectblind deconvolution
dc.subjecthyperspectral imaging
dc.subjectinverse problems
dc.titleSupporting Material for Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation
dc.typeArticle
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/M00483X/1)
pubs.funder-project-idLeverhulme Trust (RPG-2015-250)
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/N014588/1)
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/J009539/1)
pubs.funder-project-idAlan Turing Institute (unknown)
pubs.funder-project-idEuropean Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (691070)
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review

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