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Gaussian or speckle noise in digital holographic interferometry: which influence on the assessment of de-noising algorithms?

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Abstract

This paper discusses on the influence of the noise statistics from the point of view of the performances of de-noising algorithms in digital holographic interferometry. Particularly we focus on Gaussian and speckle noise statistics. Comparisons are based when considering 32 de- noising algorithms and the global rms phase error obtained after processing. The paper demonstrates that Gaussian statistics are not the accurate model for describing noise in digital holographic interferometry.

© 2020 The Author(s)

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More Like This
Evaluation of De-Noising Algorithms for Amplitude Image Restoration in Digital Holography

Silvio Montresor and Pascal Picart
JTu4A.8 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2018

An iterative scheme based on deep learning combined with input noise estimator for phase data processing in digital holographic interferometry

Silvio Montresor, Marie Tahon, Antoine Laurent, and Pascal Picart
HTu4B.4 Digital Holography and Three-Dimensional Imaging (DH) 2020

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Silvio Montresor, Sophie Verhaeghe, Pierre-Yves Quéhé, and Pascal Picart
DT4A.5 Digital Holography and Three-Dimensional Imaging (DH) 2015

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