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Optical Engineering

Multilevel bidimensional empirical mode decomposition: a new speckle reduction method in digital holography
Author(s): Marco Leo; Roberta Piccolo; Cosimo Distante; Pasquale Memmolo; Melania Paturzo; Pietro Ferraro
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Paper Abstract

The paper presents a new automatic technique for speckle reduction in the context of digital holography. Speckle noise is a superposition of unwanted spots over objects of interest, due to the behavior of a coherence source of radiation with the object surface characteristics. In the proposed denoising method, bidimensional empirical mode decomposition is used to decompose the image signal, which is then filtered through the Frost filter. The proposed technique was preliminarily tested on the “Lena” image for quality assessment in terms of peak signal-to-noise ratio. Then, its denoising capability was assessed on different holographic images on which also the comparison (using both blind metrics and visual inspection) with the leading strategies in the state of the art was favorably performed.

Paper Details

Date Published: 26 June 2014
PDF: 10 pages
Opt. Eng. 53(11) 112314 doi: 10.1117/1.OE.53.11.112314
Published in: Optical Engineering Volume 53, Issue 11
Show Author Affiliations
Marco Leo, Istituto Nazionale di Ottica (Italy)
Roberta Piccolo, Istituto Nazionale di Ottica (Italy)
Cosimo Distante, Istituto Nazionale di Ottica (Italy)
Pasquale Memmolo, Istituto Nazionale di Ottica (Italy)
Melania Paturzo, Istituto Nazionale di Ottica (Italy)
Pietro Ferraro, Istituto Nazionale di Ottica (Italy)

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