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Using deconvolution to improve the metrological performance of the grid method

Michel Grediac 1, * Frédéric Sur 2 Claudiu Badulescu 3 Jean-Denis Mathias 4
* Corresponding author
2 MAGRIT - Visual Augmentation of Complex Environments
Inria Nancy - Grand Est, LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry
3 MMA
LBMS - Laboratoire brestois de mécanique et des systèmes
Abstract : The use of various deconvolution techniques to enhance strain maps obtained with the grid method is addressed in this study. Since phase derivative maps obtained with the grid method can be approximated by their actual counterparts convolved by the envelope of the kernel used to extract phases and phase derivatives, non-blind restoration techniques can be used to perform deconvolution. Six deconvolution techniques are presented and employed to restore a synthetic phase derivative map. Obtained results are analyzed and discussed. Two short examples of actual strain fields restoration are finally presented and discussed.
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https://hal.inria.fr/hal-00749812
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Submitted on : Thursday, November 8, 2012 - 2:09:32 PM
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  • HAL Id : hal-00749812, version 1

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Michel Grediac, Frédéric Sur, Claudiu Badulescu, Jean-Denis Mathias. Using deconvolution to improve the metrological performance of the grid method. [Research Report] RR-8127, INRIA. 2012, pp.39. ⟨hal-00749812⟩

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