http://www.cnr.it/ontology/cnr/individuo/prodotto/ID294202
Non-Bayesian noise reduction in digital holography by random resampling masks (Contributo in atti di convegno)
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- Non-Bayesian noise reduction in digital holography by random resampling masks (Contributo in atti di convegno) (literal)
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- 2013-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1117/12.2020865 (literal)
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Bianco, Vittorio; Paturzo, Melania; Memmolo, Pasquale; Finizio, Andrea; Javidi, Bahram; Ferraro, Pietro (2013)
Non-Bayesian noise reduction in digital holography by random resampling masks
in Conference on Optical Measurement Systems for Industrial Inspection VIII, Munich, GERMANY, MAY 13-16, 2013
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Bianco, Vittorio; Paturzo, Melania; Memmolo, Pasquale; Finizio, Andrea; Javidi, Bahram; Ferraro, Pietro (literal)
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- Optical Measurement Systems for Industrial Inspection VIII (literal)
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- 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, CT 06269, United States (literal)
- Titolo
- Non-Bayesian noise reduction in digital holography by random resampling masks (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-0-8194-9604-1 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- Lehmann, PH; Osten, W; Albertazzi, A (literal)
- 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. (literal)
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