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Proceedings Paper

Non-Bayesian noise reduction in digital holography by random resampling masks
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Paper 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.

Paper Details

Date Published: 13 May 2013
PDF: 7 pages
Proc. SPIE 8788, Optical Measurement Systems for Industrial Inspection VIII, 878831 (13 May 2013); doi: 10.1117/12.2020865
Show Author Affiliations
Vittorio Bianco, CNR-Istituto Nazionale di Ottica (Italy)
Melania Paturzo, CNR-Istituto Nazionale di Ottica (Italy)
Pasquale Memmolo, CNR-Istituto Nazionale di Ottica (Italy)
Istituto Italiano di Tecnologia (Italy)
Andrea Finizio, CNR-Istituto Nazionale di Ottica (Italy)
Bahram Javidi, Univ. of Connecticut (United States)
Pietro Ferraro, CNR-Istituto Nazionale di Ottica (Italy)


Published in SPIE Proceedings Vol. 8788:
Optical Measurement Systems for Industrial Inspection VIII
Peter H. Lehmann; Wolfgang Osten; Armando Albertazzi, Editor(s)

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