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Communication Dans Un Congrès Année : 2017

A new criterion for quantitative appraisal of de-noising algorithms in digital Fresnel holography

Résumé

This paper presents a reference-free metric for quantitative appraisal of de-noising algorithms for digital Fresnel holography. In literature, lots of reported metrics are based on the availability of the noise-free reference phase to obtain ranking of selected de-noising algorithms. When such information is no longer available, other metrics must be chosen. The problem is that obtained rankings could be quite different than those using noise-free phase maps. This is the case for example with the signal-to-distortion ratio criterion. In order to avoid such problem, we propose a new criterion based on the use of a robust estimator of the speckle noise phase map using the 2D windowed Fourier transform. On one hand, correlation diagram between PSNR (using a noise-free reference) and our new metric (without any noise-free reference), and on the other hand, comparison of the rankings computed on selected de-noising algorithms demonstrate the validity of the proposed reference-free approach.
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Dates et versions

hal-02403105 , version 1 (10-12-2019)

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Citer

Silvio Montrésor, Pascal Picart, Mayssa Karray. A new criterion for quantitative appraisal of de-noising algorithms in digital Fresnel holography. Digital Holography and Three-Dimensional Imaging, 2017, JeJu Island, France. pp.W4A.5, ⟨10.1364/DH.2017.W4A.5⟩. ⟨hal-02403105⟩
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