Research data supporting the publication 'Nonlinear Spectral Image Fusion'
Repository URI
Repository DOI
Change log
Authors
Moeller, M
Nossek, R
Burger, M
Cremers, D
Description
This is Matlab code for the creation of image fusions based on the nonlinear spectral TV transform. The method of spectral image fusion is explained in the corresponding SSVM publication 'Nonlinear Spectral Image Fusion'. In order to run the automatic image fusion pipeline with the Obama/Reagan example as visualised in the paper, please follow the instructions in the readme.txt file in the folder 'spectralImageFusionOfFaces'. If you want to compute the spectral image fusions of Gauß and Newton in the supplementary files, please follow the instructions in the Matlab live scripts 'gaussnewton.mlx' or 'newtongauss.mlx' in the folder 'Banknote examples'.
Version
Software / Usage instructions
MATLAB R2016a (or higher) is required to execute this code. In order to run the automatic spectral image fusion of faces, MATLAB's Computer Vision toolbox is further necessary
Keywords
nonlinear spectral decomposition, total variation regularisation, image fusion, image composition, multischale methods
Publisher
Sponsorship
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (691070)
Isaac Newton Trust (1608(aj))
Leverhulme Trust (ECF-2016-611)
Leverhulme Trust (RPG-2015-250)
Engineering and Physical Sciences Research Council (EP/M00483X/1)
Engineering and Physical Sciences Research Council (EP/N014588/1)
Engineering and Physical Sciences Research Council (EP/J009539/1)
Alan Turing Institute (unknown)
Isaac Newton Trust (1608(aj))
Leverhulme Trust (ECF-2016-611)
Leverhulme Trust (RPG-2015-250)
Engineering and Physical Sciences Research Council (EP/M00483X/1)
Engineering and Physical Sciences Research Council (EP/N014588/1)
Engineering and Physical Sciences Research Council (EP/J009539/1)
Alan Turing Institute (unknown)