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Experimental Mechanics
Article . 2023 . Peer-reviewed
License: Springer Nature TDM
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Fine-Tuning a Deconvolution Algorithm to Restore Displacement and Strain Maps Obtained with LSA

Authors: Grédiac, M.; Balandraud, X.; Blaysat, B.; Jailin, T.; Langlois, R.; Sur, Frédéric; Vinel, A.;

Fine-Tuning a Deconvolution Algorithm to Restore Displacement and Strain Maps Obtained with LSA

Abstract

Background: Reliably measuring sharp details in displacement and strain maps returned by full-field measurement techniques remains an open question in the photomechanics community. Objective: The primary objective of this study is to improve and finetune a deconvolution algorithm in order to limit the blur that obscures the details in displacement and strain maps. Fine-tuning a deconvolution algorithm pattern in the images is also examined. The efficiency of the deconvolution algorithm employed with optimized settings is illustrated with strain maps obtained on two specimens, one in shape memory alloy, and the other in wood. Conclusions: It is shown in this study that deconvolution with optimized settings is an effective tool to enhance small and sharp details in strain maps obtained with LSA.

Keywords

Image restoration, [SPI] Engineering Sciences [physics], Localized Spectrum Analysis, Digital Image Correlation, Shape Memory Alloy, Full-field measurement, Deconvolution, Deconvolution Digital Image Correlation Full-field measurement Image restoration Localized Spectrum Analysis Metrology Shape Memory Alloy Wood, Metrology, Wood

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Green
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