Non-Bayesian noise reduction in digital holography by random resampling masks
Anno: 2013
Autori: Bianco V., Paturzo M., Memmolo P., Finizio A., Javidi B., Ferraro P.
Affiliazione autori: Istituto Nazionale di Ottica (INO-CNR), via Campi Flegrei 34, I-80078, Pozzuoli (Italy); Istituto Italiano di Tecnologia (IIT), L. Barsanti e Matteucci 53, I-80125, Naples (Italy): ECE Department, University of Connecticut, U-157, Storrs, Connecticut 06269, USA.
Abstract: Images from coherent laser sources are severely degraded by a mixture of speckle and incoherent additive noise. In digital holography, Bayesian approaches reduce the incoherent noise, but prior information are needed about the noise statistics. On the other hand, non-Bayesian techniques presents the shortcomings of resolution loss or very complex acquisition systems, required to record multiple uncorrelated holograms to be averaged. Here we propose a fast non-Bayesian method which performs a numerical synthesis of a moving diffuser in order to reduce the noise. The method does not depend on prior knowledge of the noise statistics and the proposed technique is one-shot, as only one single hologram capture is required. Indeed, starting from a single acquisition multiple uncorrelated reconstructions are provided by random sparse resampling masks, which can be incoherently averaged. Experiments show a significant improvement, close to the theoretical bound. Noteworthy, this is achieved while preserving the resolution of the unprocessed image.
Giornale/Rivista: PROCEEDINGS OF SPIE
Volume: 8788 Da Pagina: 87883 A: 87883
Parole chiavi: Digital Holography; Image processing; Imaging; Multiple holograms; SpeckleDOI: 10.1117/12.2020865Citazioni: 3dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2025-05-18Riferimenti tratti da Isi Web of Knowledge: (solo abbonati) Link per visualizzare la scheda su IsiWeb: Clicca quiLink per visualizzare la citazioni su IsiWeb: Clicca qui
