Sparse image super-resolution via superset selection and pruning
This note extends the superset method for sparse signal recovery from bandlimited measurements to the two-dimensional case. The algorithm leverages translation-invariance of the Fourier basis functions by constructing a Hankel tensor, and identifying the signal subspace from its range space. In the...
Autors principals: | , |
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Altres autors: | |
Format: | Article |
Idioma: | en_US |
Publicat: |
Institute of Electrical and Electronics Engineers (IEEE)
2015
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Accés en línia: | http://hdl.handle.net/1721.1/92915 https://orcid.org/0000-0001-7052-5097 |