Encoding multiple holograms for speckle-noise reduction in optical display

Anno: 2014

Autori: Memmolo P., Bianco V., Paturzo M., Javidi B., Netti P. A., Ferraro P.

Affiliazione autori: CNR-Istituto Nazionale di Ottica, via Campi Flegrei 34, 80078 Pozzuoli (NA), Italy;
Center for Advanced Biomaterials for HealthCare@CRIB, Istituto Italiano di tecnologia, Largo Barsanti e Matteucci 53, 80125 Napoli, Italy;
ECE Department, University of Connecticut, Storrs, Connecticut 06269, USA

Abstract: In digital holography (DH) a mixture of speckle and incoherent additive noise, which appears in numerical as well as in optical reconstruction, typically degrades the information of the object wavefront. Several methods have been proposed in order to suppress the noise contributions during recording or even during the reconstruction steps. Many of them are based on the incoherent combination of multiple holographic reconstructions achieving remarkable improvement, but only in the numerical reconstruction i. e. visualization on a pc monitor. So far, it has not been shown the direct synthesis of a digital hologram which provides the denoised optical reconstruction. Here, we propose a new effective method for encoding in a single complex wavefront the contribution of multiple incoherent reconstructions, thus allowing to obtain a single synthetic digital hologram that show significant speckle-reduction when optically projected by a Spatial Light Modulator (SLM). (C) 2014 Optical Society of America

Giornale/Rivista: OPTICS EXPRESS

Volume: 22 (21)      Da Pagina: 25768  A: 25775

Maggiori informazioni: We are very grateful to Dr. Andrea Finizio of CNR-Istituto Nazionale di Ottica of Napoli to have acquired the holograms of astronaut and for his constructive feedback and careful reading of the paper. This research was funded by the MIUR (Italian Ministry for Research and University) within the PON project IT@CHA PON01_00980 Italian Technologies for Advanced Application in Cultural Heritage Assets.
DOI: 10.1364/OE.22.025768

Citazioni: 63
dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2022-09-25
Riferimenti tratti da Isi Web of Knowledge: (solo abbonati)
Link per visualizzare la scheda su IsiWeb: Clicca qui
Link per visualizzare la citazioni su IsiWeb: Clicca qui