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

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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

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.

Original language	English
Title of host publication	Optical Measurement Systems for Industrial Inspection XI
Editors	Peter Lehmann, Wolfgang Osten, Armando Albertazzi Goncalves
Publisher	SPIE
ISBN (Electronic)	9781510627918
DOIs	https://doi.org/10.1117/12.2524004
State	Published - 1 Jan 2019
Externally published	Yes
Event	Optical Measurement Systems for Industrial Inspection XI 2019 - Munich, Germany Duration: 24 Jun 2019 → 27 Jun 2019

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	11056
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Optical Measurement Systems for Industrial Inspection XI 2019
Country/Territory	Germany
City	Munich
Period	24/06/19 → 27/06/19

Keywords

Digital speckle pattern interferometery
Nonlocal means
Nonlocal means-Average
Nonlocal means-local polynomial regression
Nonlocal means-shape adaptive patches.
Speckle noise reduction

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.2524004

Cite this

Tounsi, Y., Kumar, M., Nassim, A., & Mendoza-Santoyo, F. (2019). Nonlocal means variants filtering methods for speckle noise reduction in digital speckle pattern interferometric fringes. In P. Lehmann, W. Osten, & A. A. Goncalves (Eds.), Optical Measurement Systems for Industrial Inspection XI Article 110563Q (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11056). SPIE. https://doi.org/10.1117/12.2524004

Tounsi, Yassine ; Kumar, Manoj ; Nassim, Abdelkrim et al. / Nonlocal means variants filtering methods for speckle noise reduction in digital speckle pattern interferometric fringes. Optical Measurement Systems for Industrial Inspection XI. editor / Peter Lehmann ; Wolfgang Osten ; Armando Albertazzi Goncalves. SPIE, 2019. (Proceedings of SPIE - The International Society for Optical Engineering).

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title = "Nonlocal means variants filtering methods for speckle noise reduction in digital speckle pattern interferometric fringes",

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.",

keywords = "Digital speckle pattern interferometery, Nonlocal means, Nonlocal means-Average, Nonlocal means-local polynomial regression, Nonlocal means-shape adaptive patches., Speckle noise reduction",

author = "Yassine Tounsi and Manoj Kumar and Abdelkrim Nassim and Fernando Mendoza-Santoyo",

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Tounsi, Y, Kumar, M, Nassim, A & Mendoza-Santoyo, F 2019, Nonlocal means variants filtering methods for speckle noise reduction in digital speckle pattern interferometric fringes. in P Lehmann, W Osten & AA Goncalves (eds), Optical Measurement Systems for Industrial Inspection XI., 110563Q, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11056, SPIE, Optical Measurement Systems for Industrial Inspection XI 2019, Munich, Germany, 24/06/19. https://doi.org/10.1117/12.2524004

Nonlocal means variants filtering methods for speckle noise reduction in digital speckle pattern interferometric fringes. / Tounsi, Yassine; Kumar, Manoj; Nassim, Abdelkrim et al.
Optical Measurement Systems for Industrial Inspection XI. ed. / Peter Lehmann; Wolfgang Osten; Armando Albertazzi Goncalves. SPIE, 2019. 110563Q (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11056).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Nonlocal means variants filtering methods for speckle noise reduction in digital speckle pattern interferometric fringes

AU - Tounsi, Yassine

AU - Kumar, Manoj

AU - Nassim, Abdelkrim

AU - Mendoza-Santoyo, Fernando

N1 - Publisher Copyright: © SPIE. Downloading of the abstract is permitted for personal use only.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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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Tounsi Y, Kumar M, Nassim A, Mendoza-Santoyo F. Nonlocal means variants filtering methods for speckle noise reduction in digital speckle pattern interferometric fringes. In Lehmann P, Osten W, Goncalves AA, editors, Optical Measurement Systems for Industrial Inspection XI. SPIE. 2019. 110563Q. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2524004

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

Abstract

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Keywords

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