Multilevel bidimensional empirical mode decomposition: a new speckle reduction method in digital holography

Year: 2014

Authors: Leo M., Piccolo R., Distante C., Memmolo P., Paturzo M., Ferraro P.

Autors Affiliation: National Institute of Optics–CNR, via della Libertà 3, Arnesano LE 73014, Italy; National Institute of Optics–CNR via Campi Flegrei 34, Pozzuoli NA 80078, Italy

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.

Journal/Review: OPTICAL ENGINEERING

Volume: 53 (11)      Pages from: 112314-1  to: 112314-10

More Information: This work was supported in part by the Programma Operativo Nazionale (PON) project IT@CHA funded by the Italian Ministry of Education, University and Research (MIUR).
KeyWords: digital holography; bidimensional empirical mode decomposition; speckle reduction; image denoising; Frost filter
DOI: 10.1117/1.OE.53.11.112314

ImpactFactor: 0.954
Citations: 26
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