Compressed sensing for quaternionic signals
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 provid...
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| Outros Autores: | , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2017
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10773/16755 |
| País: | Portugal |
| Oai: | oai:ria.ua.pt:10773/16755 |
| Resumo: | 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. |
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