Quality assessment of de-noising algorithms in digital Fresnel holography

Silvio Montrésor; Pierre-Yves Quéhé; Sophie Verhaeghe; Pascal Picart

doi:10.1117/12.2196106

24 August 2015 Quality assessment of de-noising algorithms in digital Fresnel holography

Silvio Montrésor, Pierre-Yves Quéhé, Sophie Verhaeghe, Pascal Picart

Proceedings Volume 9660, SPECKLE 2015: VI International Conference on Speckle Metrology; 966003 (2015) https://doi.org/10.1117/12.2196106
Event: SPECKLE 2015: VI International Conference on Speckle Metrology, 2015, Guanajuato, Mexico

Abstract

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.

Citation Download Citation

Silvio Montrésor, Pierre-Yves Quéhé, Sophie Verhaeghe, and Pascal Picart "Quality assessment of de-noising algorithms in digital Fresnel holography", Proc. SPIE 9660, SPECKLE 2015: VI International Conference on Speckle Metrology, 966003 (24 August 2015); https://doi.org/10.1117/12.2196106

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