Scientific Results

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

Year: 2011

Authors: Memmolo P., Esnaola I., Finizio A., Paturzo M., Ferraro P., Tulino A.M.

Autors Affiliation: CNR – Istituto Nazionale di Ottica, via Campi Flegrei 34, 80078 Pozzuoli (NA), Italy;
DIBET, Università degli Studi di Napoli “Federico II”, via Claudio 21, Napoli, Italy;
Wireless Communication Theory Research, Bell Laboratories, 791 Holmdel-Keyport Road, Holmdel, NJ 07733, U.S.A.
DIBET, Università degli Studi di Napoli “Federico II”, via Claudio 21, Napoli, Italy

Wireless Communication Theory Research, Bell Laboratories,
791 Holmdel-Keyport Road, Holmdel, NJ 07733, U.S.A.

Abstract: Compressed Sensing (CS) states that a signal 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 incoherent with the sparsity basis. Motivated by this idea, we propose to use CS as denoising algorithm in Digital Holography (DH) for efficient amplitude and phase reconstruction.

Journal/Review:

KeyWords: Digital Holography; Digital Image Processing;

English