C. Aguerrebere, J. Delon, Y. Gousseau, and P. Musé, Study of the Digital Camera Acquisition Process and Statistical Modeling of the Sensor Raw Data Available online at https, 2012.

F. J. Anscombe, The transformation of Poisson binomial and negative-binomial data, Biometrika, pp.35-246, 1948.

L. Azzari and A. Foi, Gaussian-Cauchy mixture modeling for robust signal-dependent noise estimation, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5357-5361, 2014.
DOI : 10.1109/ICASSP.2014.6854626

L. Azzari and A. Foi, Indirect Estimation of Signal-Dependent Noise With Nonadaptive Heterogeneous Samples, IEEE Transactions on Image Processing, vol.23, issue.8, pp.3459-3467, 2014.
DOI : 10.1109/TIP.2014.2321504

F. R. Boddekke, Quantitative Fluorescence Microscopy, 1999.

J. Boulanger, C. Kervrann, P. Bouthemy, P. Elbau, J. Sibarita et al., Patchbased nonlocal functional for denoising fluorescence microscopy image sequences, IEEE Trans. Med. Imaging, pp.29-442, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00541082

A. Buades, B. Coll, and J. M. , A Review of Image Denoising Algorithms, with a New One, Multiscale Modeling & Simulation, vol.4, issue.2, pp.490-530, 2005.
DOI : 10.1137/040616024

URL : https://hal.archives-ouvertes.fr/hal-00271141

T. Buades, Y. Lou, J. Morel, and Z. Tang, A note on multi-image denoising, 2009 International Workshop on Local and Non-Local Approximation in Image Processing, pp.1-15, 2009.
DOI : 10.1109/LNLA.2009.5278408

R. Cai, J. F. Cobben, J. M. Myrzik, J. H. Blom, and W. L. Kling, Flicker responses of different lamp types, IET Generation, Transmission & Distribution, vol.3, issue.9, pp.816-824, 2009.
DOI : 10.1049/iet-gtd.2008.0429

M. Colom, A. Buades, and J. Morel, Nonparametric noise estimation method for raw images, Journal of the Optical Society of America A, vol.31, issue.4, pp.31-863, 2014.
DOI : 10.1364/JOSAA.31.000863

D. R. Cox, Some statistical methods connected with series of events, J. Roy. Statist. Soc. Ser. B, vol.17, pp.129-164, 1955.

D. J. Daley, D. Vere, and -. , An introduction to the theory of point processes, 2003.

J. Delon, Midway Image Equalization, Journal of Mathematical Imaging and Vision, vol.21, issue.2, pp.119-134, 2004.
DOI : 10.1023/B:JMIV.0000035178.72139.2d

URL : https://hal.archives-ouvertes.fr/hal-01338124

J. Delon and A. Desolneux, Stabilization of Flicker-Like Effects in Image Sequences through Local Contrast Correction, SIAM Journal on Imaging Sciences, vol.3, issue.4, pp.703-734, 2010.
DOI : 10.1137/090766371

URL : https://hal.archives-ouvertes.fr/hal-00407796

S. Delpretti, F. Luisier, S. Ramani, T. Blu, and M. Unser, Multiframe sure-let denoising of timelapse fluorescence microscopy images, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.149-152, 2008.
DOI : 10.1109/ISBI.2008.4540954

B. Ellingwood and A. Tallin, Structural Serviceability: Floor Vibrations, Journal of Structural Engineering, vol.110, issue.2, pp.401-418, 1984.
DOI : 10.1061/(ASCE)0733-9445(1984)110:2(401)

H. Faraji and W. J. Maclean, CCD noise removal in digital images, IEEE Transactions on Image Processing, vol.15, issue.9, pp.2676-2685, 2006.
DOI : 10.1109/TIP.2006.877363

A. Foi, Clipped noisy images: Heteroskedastic modeling and practical denoising, Signal Process, pp.2609-2629, 2009.

A. Foi, S. Alenius, V. Katvonik, and K. Egiazarian, Noise Measurement for Raw-Data of Digital Imaging Sensors by Automatic Segmentation of Nonuniform Targets, IEEE Sensors Journal, vol.7, issue.10, pp.1456-1461, 2007.
DOI : 10.1109/JSEN.2007.904864

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

M. Grédiac and F. Sur, Effect of sensor noise on the resolution and spatial resolution of displacement and strain maps estimated with the grid method, Strain, pp.50-51, 2014.

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

F. Hild and S. Roux, Comparison of Local and Global Approaches to Digital Image Correlation, Experimental Mechanics, vol.39, issue.8, pp.1503-1519, 2012.
DOI : 10.1007/s11340-012-9603-7

URL : https://hal.archives-ouvertes.fr/hal-00750756

H. T. Hytti, Characterization of digital image noise properties based on RAW data, Proceedings of Image Quality and System Performance III, Proc. SPIE 6059, p.6059, 2006.

L. Isserlis, On a formula for the product-moment coefficient of any order of a normal frequency distribution in any number of variables, Biometrika, pp.12-134, 1918.

A. Jezierska, C. Chaux, J. Pesquet, H. Talbot, and G. Engler, An EM Approach for Time-Variant Poisson-Gaussian Model Parameter Estimation, IEEE Transactions on Signal Processing, vol.62, issue.1, pp.17-30, 2014.
DOI : 10.1109/TSP.2013.2283839

URL : https://hal.archives-ouvertes.fr/hal-00766686

A. Jezierska, J. Pesquet, H. Talbot, and C. Chaux, Iterative poisson-Gaussian noise parametric estimation for blind image denoising, 2014 IEEE International Conference on Image Processing (ICIP), pp.2819-2823
DOI : 10.1109/ICIP.2014.7025570

URL : https://hal.archives-ouvertes.fr/hal-01060081

X. Jin, Z. Xu, and K. Hirakawa, Noise parameter estimation for Poisson corrupted images using variance stabilization transforms, IEEE Trans. Image Process, vol.23, pp.1329-1339, 2014.

D. S. Kepshire, Sub-surface diffuse fluorescence tomography: System development and feasability studies, Master's thesis, Thayer School of Engineering, 2006.

M. Lebrun, M. Colom, A. Buades, and J. Morel, Secrets of image denoising cuisine, Acta Numerica, vol.21, pp.475-576, 2012.
DOI : 10.1017/S0962492912000062

C. Liu, R. Szeliski, S. B. Kang, C. L. Zitnick, and W. T. Freeman, Automatic estimation and removal of noise from a single image, IEEE Trans. Pattern Anal. Mach. Intell, pp.30-299, 2008.

X. Liu, M. Tanaka, and M. Okutomi, Practical Signal-Dependent Noise Parameter Estimation From a Single Noisy Image, IEEE Transactions on Image Processing, vol.23, issue.10, pp.4361-4371, 2014.
DOI : 10.1109/TIP.2014.2347204

Z. Liu, L. Yuan, X. Tang, M. Uyttendaele, and J. Sun, Fast burst images denoising, ACM Transactions on Graphics, vol.33, issue.6, pp.1-232, 2014.
DOI : 10.1145/2661229.2661277

R. W. Lohman, Neon tube characteristics, Electrical Engineering, vol.52, issue.5, pp.304-307, 1933.
DOI : 10.1109/EE.1933.6430717

M. Makitalo and A. Foi, Optimal Inversion of the Generalized Anscombe Transformation for Poisson-Gaussian Noise, IEEE Transactions on Image Processing, vol.22, issue.1, pp.91-103, 2013.
DOI : 10.1109/TIP.2012.2202675

M. Makitalo and A. Foi, Noise Parameter Mismatch in Variance Stabilization, With an Application to Poisson–Gaussian Noise Estimation, IEEE Transactions on Image Processing, vol.23, issue.12, pp.5348-5359, 2014.
DOI : 10.1109/TIP.2014.2363735

P. Milanfar, A Tour of Modern Image Filtering: New Insights and Methods, Both Practical and Theoretical, IEEE Signal Processing Magazine, vol.30, issue.1, pp.106-128, 2013.
DOI : 10.1109/MSP.2011.2179329

J. Molimard and L. Navarro, Uncertainty on fringe projection technique: A Monte-Carlo-based approach, Optics and Lasers in Engineering, vol.51, issue.7, pp.840-847, 2013.
DOI : 10.1016/j.optlaseng.2013.01.023

URL : https://hal.archives-ouvertes.fr/hal-01024470

F. Murthagh, J. L. Starck, and A. Bijaoui, Image restoration with noise suppression using a multiresolution support, Astronom. Astrophys, vol.112, pp.179-189, 1995.

G. W. Oehlert, A note on the Delta method, Amer. Statist, vol.46, pp.27-29, 1992.

S. Pyatykh and J. Hesser, Image Sensor Noise Parameter Estimation by Variance Stabilization and Normality Assessment, IEEE Transactions on Image Processing, vol.23, issue.9, pp.3990-3998, 2014.
DOI : 10.1109/TIP.2014.2339194

S. Ramani, C. Vonesch, and M. Unser, Deconvolution of 3D fluorescence micrographs with automatic risk minimization, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.732-735, 2008.
DOI : 10.1109/ISBI.2008.4541100

P. Roudot, C. Kervrann, J. Boulanger, and F. Waharte, Noise modeling for intensified camera in fluorescence imaging: Application to image denoising, 2013 IEEE 10th International Symposium on Biomedical Imaging, pp.600-603, 2013.
DOI : 10.1109/ISBI.2013.6556546

URL : https://hal.archives-ouvertes.fr/hal-00931360

P. Roudot, C. Kervrann, F. Waharte, and J. Boulanger, Lifetime map reconstruction in frequencydomain fluorescence lifetime imaging microscopy, Proceedings of the International Conference on Image Processing (ICIP), pp.2537-2540
URL : https://hal.archives-ouvertes.fr/hal-00763803

Q. Sensicam, . Data, . Tech, . Report, S. Imaging et al., Standard for Characterization of Image Sensors and Cameras, Release 3.0, Tech. report, European Machine Vision Association (EMVA) Available online at http://www. emva.org/cms Applying a full-field measurement technique to characterize the mechanical response of a sunflower-based biocomposite, Experimental Mech, sensicam qe lgdlm 1288sheet 0510.pdf [47] Standard 1288, pp.10-11340, 1007.

F. Sur and M. Grédiac, Sensor noise measurement in the presence of a flickering illumination, 2014 IEEE International Conference on Image Processing (ICIP), pp.1763-1767
DOI : 10.1109/ICIP.2014.7025353

URL : https://hal.archives-ouvertes.fr/hal-01022379

F. Sur and M. Grédiac, Sensor Noise Modeling by Stacking Pseudo-Periodic Grid Images Affected by Vibrations, IEEE Signal Processing Letters, vol.21, issue.4, pp.432-436, 2014.
DOI : 10.1109/LSP.2014.2304570

URL : https://hal.archives-ouvertes.fr/hal-00955709

F. Sur and M. Grédiac, Towards deconvolution to enhance the grid method for in-plane strain measurement, Inverse Problems and Imaging, vol.8, issue.1, pp.259-291, 2014.
DOI : 10.3934/ipi.2014.8.259

URL : https://hal.archives-ouvertes.fr/hal-00749804

F. Sur and M. Grédiac, Measuring the Noise of Imaging Sensors in the Presence of Vibrations and Illumination Flickering: Modeling, Algorithm, and Experiments, Research Report, vol.8672, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01104124

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.
DOI : 10.1016/j.optlaseng.2014.09.013

URL : https://hal.archives-ouvertes.fr/hal-01075764

T. H. Thai, R. Cogranne, and F. Retraint, Camera Model Identification Based on the Heteroscedastic Noise Model, IEEE Transactions on Image Processing, vol.23, issue.1, pp.250-263, 2014.
DOI : 10.1109/TIP.2013.2290596

M. L. Uss, B. Vozel, V. V. Lukin, and K. Chehdi, Image informative maps for component-wise estimating parameters of signal-dependent noise, Journal of Electronic Imaging, vol.22, issue.1, pp.22-013019, 2013.
DOI : 10.1117/1.JEI.22.1.013019

URL : https://hal.archives-ouvertes.fr/hal-00905998

S. B. Vardeman and C. Lee, Likelihood-Based Statistical Estimation From Quantized Data, IEEE Transactions on Instrumentation and Measurement, vol.54, issue.1, pp.409-414, 2005.
DOI : 10.1109/TIM.2004.838912

B. Waegli, Investigations into the noise characteristics of digitized aerial images, Int. Arch. for Photogr. and Remote Sensing, vol.32, pp.341-348, 1998.