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

Authors
Ehrhardt, MJ 
Bungert, Leon 
Coomes, David 
Schoenlieb, Carola-Bibiane  ORCID logo  https://orcid.org/0000-0003-0099-6306
Rasch, Jennifer 
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DOI
https://doi.org/10.17863/CAM.17104
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matlab.zip (16.72 MB)
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Article
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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.

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Keywords
remote sensing, super-resolution, pansharpening, blind deconvolution, hyperspectral imaging, inverse problems
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Rights
GNU General Public License v3.0
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)
Collections
Research Data - Applied Mathematics and Theoretical Physics