Quality assessment of de-noising algorithms in digital Fresnel holography - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

Quality assessment of de-noising algorithms in digital Fresnel holography

Résumé

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.
Fichier non déposé

Dates et versions

hal-02403231 , version 1 (10-12-2019)

Identifiants

Citer

Silvio Montrésor, Pierre-Yves Quéhé, Sophie Verhaeghe, Pascal Picart. Quality assessment of de-noising algorithms in digital Fresnel holography. SPECKLE 2015: VI International Conference on Speckle Metrology, Aug 2015, Guanajuato, Mexico. pp.966003, ⟨10.1117/12.2196106⟩. ⟨hal-02403231⟩
27 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More