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Nonlocal means variants filtering methods for speckle noise reduction in digital speckle pattern interferometric fringes
Author(s): Yassine Tounsi; Manoj Kumar; Abdelkrim Nassim; Fernando Mendoza-Santoyo
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Paper 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.

Paper Details

Date Published: 21 June 2019
PDF: 6 pages
Proc. SPIE 11056, Optical Measurement Systems for Industrial Inspection XI, 110563Q (21 June 2019); doi: 10.1117/12.2524004
Show Author Affiliations
Yassine Tounsi, Univ. Chouaïb Doukkali (Morocco)
Manoj Kumar, Kobe Univ. (Japan)
Abdelkrim Nassim, Univ. Chouaïb Doukkali (Morocco)
Fernando Mendoza-Santoyo, Ctr. de Investigaciones en Óptica, A.C. (Mexico)


Published in SPIE Proceedings Vol. 11056:
Optical Measurement Systems for Industrial Inspection XI
Peter Lehmann; Wolfgang Osten; Armando Albertazzi Gonçalves Jr., Editor(s)

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