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Communication Dans Un Congrès Année : 2018

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

Résumé

This paper presents a comparison and ranking of image de-noising algorithms in the context of speckle noise in amplitude images from digital holography. In order to assess the evaluations, a database is constituted with experimental images extracted from 20 holograms acquired with a random illumination. Using the 20 amplitude images, 20 other images are computed in order to get images with increasing signal-to-noise ratio. For the evaluations, 34 de-noising algorithms were chosen considering their efficiency in image processing and digital holography. De-noising algorithms are ranked using RMSE, PSNR and Q index metrics.
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Dates et versions

hal-02396887 , version 1 (06-12-2019)

Identifiants

Citer

Silvio Montrésor, Pascal Picart. Evaluation of De-Noising Algorithms for Amplitude Image Restoration in Digital Holography. 3D Image Acquisition and Display: Technology, Perception and Applications, 2018, Orlando, United States. pp.JTu4A.8, ⟨10.1364/3D.2018.JTu4A.8⟩. ⟨hal-02396887⟩
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