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Title: Compressed sensing for quaternionic signals
Author: Kähler, Uwe
Hartmann, Stefan
Gomes, Narciso
Keywords: Quaternionic signals
Compressed sensing
Sparsity constrains
Issue Date: Feb-2017
Publisher: Springer
Abstract: We study the problem of compressed sensing for quaternionic Fourier matrices as arising in color representation of images. We will show that such matrices are allowing a sparse reconstruction by means of an l1-minimization with high probability. Examples of sparse sampling of color images are provided.
Peer review: yes
DOI: 10.1007/s11785-016-0607-7
ISSN: 1661-8254
Appears in Collections:CIDMA - Artigos
CHAG - Artigos

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