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UHD Video Super-Resolution using Low-Rank and Sparse Decomposition
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Electronic Engineering and Computer Science
UHD Video Super-Resolution using Low-Rank and Sparse Decomposition
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School of Electronic Engineering and Computer Science
Electronic Engineering and Computer Science
UHD Video Super-Resolution using Low-Rank and Sparse Decomposition
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UHD Video Super-Resolution using Low-Rank and Sparse Decomposition
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Accepted version (2.174Mb)
Pagination
1889 - 1897
DOI
10.1109/ICCVW.2017.223
ISSN
2473-9936
Metadata
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Authors
Ebadi, SE; Ones, VG; Izquierdo, E; IEEE
URI
http://qmro.qmul.ac.uk/xmlui/handle/123456789/25663
Collections
Electronic Engineering and Computer Science
[3095]
Licence information
ERFANIAN, E., IZQUIERDO, E. and Guerra Ones, V. (2017). UHD Video Super-Resolution using Low-Rank and Sparse Decomposition. International Conference on Computer Vision, Robust Subspace Learning and Applications in Computer Vision.
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© The Author(s) 2017