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Proceedings Paper

Quality assessment of de-noising algorithms in digital Fresnel holography
Author(s): Silvio Montrésor; Pierre-Yves Quéhé; Sophie Verhaeghe; Pascal Picart
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Paper Abstract

This paper presents a comparison between multiple image denoising algorithms in the context of speckle noise in phase data from digital holography. Several denoising algorithms are tested on simulated noisy speckled phase and images. The paper shows that curvelets and symlets demonstrated most efficiency, in terms both of gain in the SNR ratio and of phase error. This approach surpasses the algorithms used for the SAR images, which, however, use the same noise model as inherent to the phase fringe patterns.

Paper Details

Date Published: 24 August 2015
PDF: 6 pages
Proc. SPIE 9660, SPECKLE 2015: VI International Conference on Speckle Metrology, 966003 (24 August 2015); doi: 10.1117/12.2196106
Show Author Affiliations
Silvio Montrésor, Univ. du Maine (France)
Pierre-Yves Quéhé, École Nationale Supérieure d'Ingénieurs du Mans (France)
Sophie Verhaeghe, École Nationale Supérieure d'Ingénieurs du Mans (France)
Pascal Picart, Univ. du Maine (France)
École Nationale Supérieure d'Ingénieurs du Mans (France)


Published in SPIE Proceedings Vol. 9660:
SPECKLE 2015: VI International Conference on Speckle Metrology
Fernando Mendoza Santoyo; Eugenio R. Mendez, Editor(s)

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