G. F. Bomarito, J. D. Hochhalter, T. J. Ruggles, and A. H. Cannon, Increasing accuracy and precision of digital image correlation through pattern optimization, Optics and Lasers in Engineering, vol.91, pp.73-85, 2017.

B. Pan, H. Xie, Z. Wang, K. Qian, and Z. , Wang Study on subset size selection in digital image correlation for speckle patterns, Optal Express, vol.16, issue.10, pp.703-7048, 2008.

M. Sutton, J. J. Orteu, and H. , Schreier Image correlation for shape, motion and deformation measurements. Basic concepts, 2009.

Y. Q. Wang, M. Sutton, H. Bruck, and H. W. , Schreier Quantitative error assessment in pattern matching: effects of intensity pattern noise, interpolation, strain and image contrast on motion measurements, Strain, vol.45, issue.2, pp.16-178, 2009.

, J. R¨?¿R¨?¿ 1, vol.2, issue.1

, A fully integrated noise robust strategy for the identification of constitutive laws from digital images, International Journal for Numerical Methods in Engineering, vol.84, issue.6, pp.63-660, 2010.

M. Grédiac, B. Blaysat, and F. Sur, A critical comparison of some metrological parameters characterizing local digital image correlation and grid method, Experimental Mechanics, vol.57, issue.3, pp.871-903, 2017.

F. Sur and M. Grédiac, Influence of the analysis window on the metrological performance of the grid method, Journal of Mathematical Imaging and Vision, vol.56, issue.3, pp.472-498, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01298523

E. W. Grafarend, Linear and Nonlinear Models: Fixed Effects, Random Effects, and Mixed Models, 2006.

Y. Surrel, Moiré and grid methods: a signal-processing approach, 1994.

Y. Surrel, Design of phase-detection algorithms insensitive to bias modulation, Applied Optics, vol.36, issue.4, pp.805-807, 1997.

M. Grédiac, F. Sur, and B. Blaysat, The grid method for in-plane displacement and strain measurement: a review and analysis, Strain, vol.52, issue.3, pp.205-243, 2016.

F. Sur and M. Grédiac, Towards deconvolution to enhance the grid method for inplane strain measurement, Inverse Problems and Imaging, vol.8, issue.1, pp.259-291, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00749804

J. L. Piro and M. Grédiac, Producing and transferring low-spatial-frequency grids for measuring displacement fields with moiré and grid methods, Experimental Techniques, vol.28, issue.4, pp.23-26, 2004.

F. Sur, B. Blaysat, and M. Grédiac, Determining displacement and strain maps immune from aliasing effect with the grid method, Optics and Lasers in Engineering, vol.86, pp.317-328, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01352868

X. Dai, H. Xie, H. Wang, C. Li, Z. Liu et al., The geometric phase analysis method based on the local high resolution discrete fourier transform for deformation measurement, Measurement Science and Technology, vol.25, issue.2, p.25402, 2014.

X. Dai, H. Xie, and H. Wang, Geometric phase analysis based on the windowed fourier transform for the deformation field measurement, Optics and Laser Technology, vol.58, issue.6, pp.119-127, 2014.

S. Avril, E. Ferrier, A. Vautrin, P. Hamelin, and Y. Surrel, A full-field optical method for the experimental analysis of reinforced concrete beams repaired with composites, Composites Part A, vol.35, issue.7-8, pp.873-884, 2004.

F. Pierron, H. Zhu, and C. Siviour, Beyond Hopkinson's bar, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.372, p.20130195, 2014.

M. Rossi, F. Pierron, and P. Forquin, Assessment of the metrological performance of an in situ storage image sensor ultra-high speed camera for full-field deformation measurements, Measurement Science and Technology, vol.25, issue.2, p.25401, 2014.

G. L. Louedec, F. Pierron, M. A. Sutton, C. Siviour, and A. P. Reynolds, Identification of the dynamic properties of Al 5456 FSW welds using the virtual fields method, Journal of Dynamic Behavior of Materials, 2015.

B. Lukic, D. Saletti, and P. Forquin, Use of simulated experiments for material characterization of brittle materials subjected to high strain rate dynamic tension Philosophical Transactions of the, Royal Society A. Mathematical, Physical and Engineering Sciences, vol.375, p.20160168, 2017.

H. Haddadi and S. Belhabib, Use of a rigid-body motion for the investigation and estimation of the measurement errors related to digital image correlation technique, Optics and Lasers in Engineering, vol.46, issue.2, pp.185-96, 2008.

P. Reu, All about speckles: Aliasing. Experimental Techniques, vol.38, pp.1-3, 2014.
DOI : 10.1111/ext.12111

G. E. Healey and R. Kondepudy, Radiometric ccd camera calibration and noise estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.16, issue.3, pp.267-276, 1994.
DOI : 10.1109/34.276126

J. Boulanger, C. Kervrann, P. Bouthemy, P. Elbau, J. Sibarita et al., Patchbased nonlocal functional for denoising fluorescence microscopy image sequences, IEEE Transactions on Medical Imaging, vol.29, issue.2, pp.442-454
DOI : 10.1109/tmi.2009.2033991

URL : https://hal.archives-ouvertes.fr/inria-00541082

A. Foi, M. Trimeche, V. Katkovnik, and K. Egiazarian, Practical Poissonian-Gaussian noise modeling and fitting for single-image raw-data, IEEE Transactions on Image Processing, vol.17, issue.10, pp.1737-1754, 2008.
DOI : 10.1109/tip.2008.2001399

URL : http://www.cs.tut.fi/~foi/papers/Foi-PoissonianGaussianClippedRaw-2007-IEEE_TIP.pdf

S. Ramani, C. Vonesch, and M. Unser, Deconvolution of 3D fluorescence micrographs with automatic risk minimization, Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), pp.732-735, 2008.
DOI : 10.1109/isbi.2008.4541100

URL : http://bigwww.epfl.ch/publications/ramani0804.pdf

F. Sur and M. Grédiac, On noise reduction in strain maps obtained with the grid method by averaging images affected by vibrations, Optics and Lasers in Engineering, vol.66, pp.210-222, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01075764