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Compressed sensing - based denoising algorithm of digital holograms recorded in microscope configuration

Authors :
Memmolo P. [ 1,2 ]
Esnaola I. [ 3 ]
Finizio A. [ 1 ]
Paturzo M. [ 1 ]
Ferraro P. [ 1 ], Tulino A.M. [2,3 ]
Source :
4th EOS Topical Meeting on Optical Microsystems (OµS'11), Capri, Italy, 26-28 September 2011, info:cnr-pdr/source/autori:Memmolo P. [ 1,2 ] ; Esnaola I. [ 3 ] ; Finizio A. [ 1 ] ; Paturzo M. [ 1 ] ; Ferraro P. [ 1 ], Tulino A.M. [2,3 ]/congresso_nome:4th EOS Topical Meeting on Optical Microsystems (OµS'11)/congresso_luogo:Capri, Italy/congresso_data:26-28 September 2011/anno:2011/pagina_da:/pagina_a:/intervallo_pagine
Publication Year :
2011

Abstract

Compressed Sensing (CS) states that a sig-nal admitting a sparse representation in some basis can be perfectly acquired using a low rate acquisition process that projects the signal onto a small set of vectors inco-herent with the sparsity basis. Motivated by this idea, we propose to use CS as denois-ing algorithm in Digital Holography (DH) for efficient amplitude and phase reconstruction.

Details

Language :
English
Database :
OpenAIRE
Journal :
4th EOS Topical Meeting on Optical Microsystems (OµS'11), Capri, Italy, 26-28 September 2011, info:cnr-pdr/source/autori:Memmolo P. [ 1,2 ] ; Esnaola I. [ 3 ] ; Finizio A. [ 1 ] ; Paturzo M. [ 1 ] ; Ferraro P. [ 1 ], Tulino A.M. [2,3 ]/congresso_nome:4th EOS Topical Meeting on Optical Microsystems (OµS'11)/congresso_luogo:Capri, Italy/congresso_data:26-28 September 2011/anno:2011/pagina_da:/pagina_a:/intervallo_pagine
Accession number :
edsair.cnr...........9c69be329269663e06acd5dca099ac10