Nonlocal means variants filtering methods for speckle noise reduction in digital speckle pattern interferometric fringes

Yassine Tounsi; Manoj Kumar; Abdelkrim Nassim; Fernando Mendoza-Santoyo

doi:10.1117/12.2524004

21 June 2019 Nonlocal means variants filtering methods for speckle noise reduction in digital speckle pattern interferometric fringes

Yassine Tounsi, Manoj Kumar, Abdelkrim Nassim, Fernando Mendoza-Santoyo

Author Affiliations +

Proceedings Volume 11056, Optical Measurement Systems for Industrial Inspection XI; 110563Q (2019) https://doi.org/10.1117/12.2524004
Event: SPIE Optical Metrology, 2019, Munich, Germany

Abstract

Nonlocal means (NLM) and its variant filtering methods such as nonlocal means-average (NLM-av), nonlocal meanslocal polynomial regression (NLM-LPR), and nonlocal means-shape adaptive patches (NLM-SAP) for speckle noise reduction in digital speckle pattern interferometric (DSPI) fringes are presented. The performance of these filtering methods is appraised by several criteria such as peak signal-to-noise ratio (PSNR), the quality index (Q), and the edge preservation index (EPI). The obtained filtering results corroborate the effectiveness of NLM and its variant filtering methods for speckle noise reduction in DSPI fringes.

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Yassine Tounsi, Manoj Kumar, Abdelkrim Nassim, and Fernando Mendoza-Santoyo "Nonlocal means variants filtering methods for speckle noise reduction in digital speckle pattern interferometric fringes ", Proc. SPIE 11056, Optical Measurement Systems for Industrial Inspection XI, 110563Q (21 June 2019); https://doi.org/10.1117/12.2524004

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