Random resampling masks: a non-Bayesian one-shot strategy for noise reduction in digital holography
Anno: 2013
Autori: Bianco V., Paturzo M., Memmolo P., Finizio A., Ferraro P., Javidi B.
Affiliazione autori: CNR – National Institute of Optics, Via Campi Flegrei, 34, Pozzuoli (NA) I-80078, Italy;
Center for Advanced Biomaterials for Health Care, Istituto Italiano di Tecnologia, L. Barsanti e Matteucci (NA), 53, I-80125, Italy;
ECE Department, University of Connecticut, U-157, Storrs, Connecticut 06269, USA
Abstract: Holographic imaging may become severely degraded by a mixture of speckle and incoherent additive noise. Bayesian approaches reduce the incoherent noise, but prior information is needed on the noise statistics. With no prior knowledge, one-shot reduction of noise is a highly desirable goal, as the recording process is simplified and made faster. Indeed, neither multiple acquisitions nor a complex setup are needed. So far, this result has been achieved at the cost of a deterministic resolution loss. Here we propose a fast non-Bayesian denoising method that avoids this trade-off by means of a numerical synthesis of a moving diffuser. In this way, only one single hologram is required as multiple uncorrelated reconstructions are provided by random complementary resampling masks. Experiments show a significant incoherent noise reduction, close to the theoretical improvement bound, resulting in image-contrast improvement. At the same time, we preserve the resolution of the unprocessed image. (C) 2013 Optical Society of America
Giornale/Rivista: OPTICS LETTERS
Volume: 38 (5) Da Pagina: 619 A: 621
Parole chiavi: Image processing : Image enhancement; Imaging systems : Noise in imaging syste; Holography : Digital holographyDOI: 10.1364/OL.38.000619Citazioni: 78dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2024-04-21Riferimenti 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