TY - GEN
T1 - Speckle denoising by the family of non-local means methods
AU - Kumar, Manoj
AU - Tounsi, Yassine
AU - Nassim, Abdelkrim
AU - Mendoza-Santoyo, Fernando
AU - Matoba, Osamu
N1 - Publisher Copyright:
© 2020 SPIE
PY - 2020/1/1
Y1 - 2020/1/1
N2 - We demonstrate the performance of nonlocal means (NLM) and its related adaptive kernel-based methods for speckle denoising for the intensity and phase images acquired from the digital speckle pattern interferometric (DSPI) and digital holographic interferometric (DHI) techniques, respectively. The speckle denoise capabilities of NLM and its variant denoising methods such as NLM-average (NLM-av), NLM-local polynomial regression (NLM-PLR), and NLM-shape adaptive patches (NLM-SAP), and various NLM-reprojection schemes are implemented on simulated. Their performances are quantified on the basis of two metric criteria - peak signal-to-noise ratio (PSNR) and the image quality index (Q). The effectiveness of these denoising methods is compared with other existing speckle denoising methods. The obtained results suggest that these denoising methods have the ability to denoise speckles from the DSPI/DHI fringes and provide better visual and quantitative results.
AB - We demonstrate the performance of nonlocal means (NLM) and its related adaptive kernel-based methods for speckle denoising for the intensity and phase images acquired from the digital speckle pattern interferometric (DSPI) and digital holographic interferometric (DHI) techniques, respectively. The speckle denoise capabilities of NLM and its variant denoising methods such as NLM-average (NLM-av), NLM-local polynomial regression (NLM-PLR), and NLM-shape adaptive patches (NLM-SAP), and various NLM-reprojection schemes are implemented on simulated. Their performances are quantified on the basis of two metric criteria - peak signal-to-noise ratio (PSNR) and the image quality index (Q). The effectiveness of these denoising methods is compared with other existing speckle denoising methods. The obtained results suggest that these denoising methods have the ability to denoise speckles from the DSPI/DHI fringes and provide better visual and quantitative results.
KW - Digital holographic interferometry
KW - Digital speckle pattern interferometer
KW - Nonlocal means
KW - Nonlocal means -reprojection schemes
KW - Nonlocal means-average
KW - Nonlocal means-local polynomial regression
KW - Nonlocal means-shape adaptive patches
KW - Speckle denoising
UR - http://www.scopus.com/inward/record.url?scp=85092706940&partnerID=8YFLogxK
U2 - 10.1117/12.2566177
DO - 10.1117/12.2566177
M3 - Conference contribution
AN - SCOPUS:85092706940
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Optics, Photonics and Digital Technologies for Imaging Applications VI
A2 - Schelkens, Peter
A2 - Kozacki, Tomasz
PB - SPIE
T2 - Optics, Photonics and Digital Technologies for Imaging Applications VI 2020
Y2 - 6 April 2020 through 10 April 2020
ER -