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

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Authors
  Ehrhardt, Matthias
Bungert, Leon
Coomes, David
  Schoenlieb, Carola-Bibiane
Rasch, Jennifer
Reisenhofer, Rafael
Type
Article
Metadata
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Citation
Ehrhardt, M., Bungert, L., Coomes, D., Schoenlieb, C., Rasch, J., & Reisenhofer, R. Supporting Material for Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation. https://doi.org/10.17863/CAM.17104
Abstract
This 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.
Keywords
remote sensing, super-resolution, pansharpening, blind deconvolution, hyperspectral imaging, inverse problems
Sponsorship
Engineering and Physical Sciences Research Council (EP/M00483X/1)
Leverhulme Trust (RPG-2015-250)
Engineering and Physical Sciences Research Council (EP/N014588/1)
Engineering and Physical Sciences Research Council (EP/J009539/1)
Alan Turing Institute (unknown)
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (691070)
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.17104
This record's URL: https://www.repository.cam.ac.uk/handle/1810/270276
Rights
GNU General Public License v3.0, GNU General Public License v3.0
Licence URL: https://www.gnu.org/licenses/gpl-3.0.en.htmlhttps://www.gnu.org/licenses/gpl-3.0.en.html
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