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 Compressed sensing for quaternionic signals
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/16755

title: Compressed sensing for quaternionic signals
authors: 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.
URI: http://hdl.handle.net/10773/16755
ISSN: 1661-8254
publisher version/DOI: http://dx.doi.org/10.1007/s11785-016-0607-7
source: Complex Analysis and Operator Theory
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