Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Evaluation of De-Noising Algorithms for Phase Data Filtering in Digital Holographic Metrology

Not Accessible

Your library or personal account may give you access


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 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.

© 2015 Optical Society of America

PDF Article
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

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

Silvio Montresor and Pascal Picart
HF2G.6 Digital Holography and Three-Dimensional Imaging (DH) 2020

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

Silvio Montresor, Pascal Picart, and Mayssa Karray
W4A.5 Digital Holography and Three-Dimensional Imaging (DH) 2017


You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access Optica Member Subscription

Select as filters

Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved