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

Marco Leo; Roberta Piccolo; Cosimo Distante; Pasquale Memmolo; Melania Paturzo; Pietro Ferraro

doi:10.1117/1.OE.53.11.112314

26 June 2014 Multilevel bidimensional empirical mode decomposition: a new speckle reduction method in digital holography

Marco Leo, Roberta Piccolo, Cosimo Distante, Pasquale Memmolo, Melania Paturzo, Pietro Ferraro

Author Affiliations +

Optical Engineering, Vol. 53, Issue 11, 112314 (June 2014). https://doi.org/10.1117/1.OE.53.11.112314

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.

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Marco Leo, Roberta Piccolo, Cosimo Distante, Pasquale Memmolo, Melania Paturzo, and Pietro Ferraro "Multilevel bidimensional empirical mode decomposition: a new speckle reduction method in digital holography," Optical Engineering 53(11), 112314 (26 June 2014). https://doi.org/10.1117/1.OE.53.11.112314

Published: 26 June 2014

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