T. L. Szabo, Diagnostic ultrasound imaging: inside out, 2004.

T. Taxt and J. Strand, Two-dimensional noise-robust blind deconvolution of ultrasound images, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.48, issue.4, pp.861-866, 2001.
DOI : 10.1109/58.935701

O. Michailovich and A. Tannenbaum, Blind Deconvolution of Medical Ultrasound Images: A Parametric Inverse Filtering Approach, IEEE transactions on image processing: a publication of the IEEE Signal Processing Society, p.3005, 2007.
DOI : 10.1109/TIP.2007.910179

R. Morin, S. Bidon, A. Basarab, and D. Kouamé, Semi-blind deconvolution for resolution enhancement in ultrasound imaging, 2013 IEEE International Conference on Image Processing, pp.1413-1417, 2013.
DOI : 10.1109/ICIP.2013.6738290

URL : https://hal.archives-ouvertes.fr/hal-01148283

N. Zhao, A. Basarab, D. Kouamé, and J. Tourneret, Restoration of ultrasound images using a hierarchical Bayesian model with a generalized Gaussian prior, 2014 IEEE International Conference on Image Processing (ICIP), 2014.
DOI : 10.1109/ICIP.2014.7025928

URL : https://hal.archives-ouvertes.fr/hal-01399870

M. Alessandrini, S. Maggio, J. Porée, L. De-marchi, N. Speciale et al., A restoration framework for ultrasonic tissue characterization, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.58, issue.11, pp.2344-2360, 2011.
DOI : 10.1109/TUFFC.2011.2092

URL : https://hal.archives-ouvertes.fr/hal-00688924

J. A. Jensen, J. Mathorne, T. Gravesen, and B. Stage, Deconvolution of in vivo ultrasound b-mode images, Ultrasonic Imaging, vol.15, issue.2, pp.122-133, 1993.

A. Achim, B. Buxton, G. Tzagkarakis, and P. Tsakalides, Compressive sensing for ultrasound RF echoes using a-Stable Distributions, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, pp.4304-4307, 2010.
DOI : 10.1109/IEMBS.2010.5626210

C. Quinsac, A. Basarab, and D. Kouamé, Frequency domain compressive sampling for ultrasound imaging Advances in Acoustics and Vibration, 2012.

T. Chernyakova and Y. C. Eldar, Fourier-domain beamforming: the path to compressed ultrasound imaging, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol.61, issue.8, pp.1252-1267, 2014.
DOI : 10.1109/TUFFC.2014.3032

H. Liebgott, A. Basarab, D. Kouame, O. Bernard, and D. Friboulet, Compressive sensing in medical ultrasound, 2012 IEEE International Ultrasonics Symposium, pp.1-6, 2012.
DOI : 10.1109/ULTSYM.2012.0486

URL : https://hal.archives-ouvertes.fr/hal-00830731

H. Liebgott, R. Prost, and D. Friboulet, Pre-beamformed RF signal reconstruction in medical ultrasound using compressive sensing, Ultrasonics, vol.53, issue.2, pp.525-533, 2013.
DOI : 10.1016/j.ultras.2012.09.008

URL : https://hal.archives-ouvertes.fr/hal-00798017

M. F. Schiffner and G. Schmitz, Pulse-echo ultrasound imaging combining compressed sensing and the fast multipole method, 2014 IEEE International Ultrasonics Symposium, pp.2205-2208, 2014.
DOI : 10.1109/ULTSYM.2014.0549

D. L. Donoho, Compressed sensing Information Theory, IEEE Transactions on, vol.52, issue.4, pp.1289-1306, 2006.

E. J. Candès, J. Romberg, and T. Tao, Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information, IEEE Transactions on Information Theory, vol.52, issue.2, pp.489-509, 2006.
DOI : 10.1109/TIT.2005.862083

E. J. Candès and M. B. Wakin, An Introduction To Compressive Sampling, IEEE Signal Processing Magazine, vol.25, issue.2, pp.21-30, 2008.
DOI : 10.1109/MSP.2007.914731

B. Amizic, L. Spinoulas, R. Molina, and A. K. Katsaggelos, Compressive Blind Image Deconvolution, IEEE Transactions on Image Processing, vol.22, issue.10, pp.3994-4006, 2013.
DOI : 10.1109/TIP.2013.2266100

L. Spinoulas, B. Amizic, M. Vega, R. Molina, and A. K. Katsaggelos, Simultaneous bayesian compressive sensing and blind deconvolution, Signal Processing Conference (EU- SIPCO), 2012 Proceedings of the 20th European, pp.1414-1418, 2012.

S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein, Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers, Machine Learning, pp.1-122, 2011.
DOI : 10.1561/2200000016

X. Zhao, C. Chen, and M. Ng, Alternating direction method of multipliers for nonlinear image restoration problems, Image Processing IEEE Transactions on, vol.24, issue.1, pp.33-43, 2015.

A. Antoniadis, D. Leporini, and J. Pesquet, Wavelet thresholding for some classes of non-Gaussian noise, Statistica Neerlandica, vol.93, issue.4, pp.434-453, 2002.
DOI : 10.1016/0167-9473(95)00041-0

URL : https://hal.archives-ouvertes.fr/hal-00621806

J. Pesquet and N. Pustelnik, A parallel inertial proximal optimization method, Pacific Journal of Optimization, vol.8, issue.2, pp.273-305, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00790702

N. Pustelnik, C. Chaux, and J. Pesquet, Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization, IEEE Transactions on Image Processing, vol.20, issue.9, pp.2450-2462, 2011.
DOI : 10.1109/TIP.2011.2128335

URL : https://hal.archives-ouvertes.fr/hal-00826121

N. Pustelnik, J. Pesquet, and C. Chaux, Relaxing Tight Frame Condition in Parallel Proximal Methods for Signal Restoration, IEEE Transactions on Signal Processing, vol.60, issue.2, pp.968-973, 2012.
DOI : 10.1109/TSP.2011.2173684

URL : https://hal.archives-ouvertes.fr/hal-00692256

P. L. Combettes and J. Pesquet, Proximal splitting methods in signal processing, " in Fixed-point algorithms for inverse problems in science and engineering, pp.185-212, 2011.

W. Deng, W. Yin, and Y. Zhang, Group sparse optimization by alternating direction method, SPIE Optical Engineering+ Applications. International Society for Optics and Photonics, pp.88-580, 2013.

T. T. Do, L. Gan, N. H. Nguyen, and T. D. Tran, Fast and Efficient Compressive Sensing Using Structurally Random Matrices, IEEE Transactions on Signal Processing, vol.60, issue.1, pp.139-154, 2012.
DOI : 10.1109/TSP.2011.2170977

J. Yang and Y. Zhang, Alternating Direction Algorithms for $\ell_1$-Problems in Compressive Sensing, SIAM Journal on Scientific Computing, vol.33, issue.1, pp.250-278, 2011.
DOI : 10.1137/090777761

J. A. Jensen, A model for the propagation and scattering of ultrasound in tissue, The Journal of the Acoustical Society of America, vol.89, issue.1, pp.182-190, 1991.
DOI : 10.1121/1.400497

A. Florescu, E. Chouzenoux, J. Pesquet, P. Ciuciu, and S. Ciochina, A Majorize-Minimize Memory Gradient method for complex-valued inverse problems, Signal Processing, vol.103, pp.285-295, 2014.
DOI : 10.1016/j.sigpro.2013.09.026

URL : https://hal.archives-ouvertes.fr/hal-00829788