G. Winkler, Image Analysis, Random Fields and Markov Chain Monte Carlo Methods, 2003.
DOI : 10.1007/978-3-642-55760-6

H. Rue, Fast sampling of Gaussian Markov random fields, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.63, issue.2, 2001.
DOI : 10.1111/1467-9868.00288

P. Lalanne, D. Prévost, and P. Chavel, Stochastic artificial retinas: algorithm, optoelectronic circuits, and implementation, Applied Optics, vol.40, issue.23, 2001.
DOI : 10.1364/AO.40.003861
URL : https://hal.archives-ouvertes.fr/hal-00862122

R. Chellappa and S. Chatterjee, Classification of textures using Gaussian Markov random fields, ASSP-33, pp.959-963, 1985.
DOI : 10.1109/TASSP.1985.1164641

R. Chellappa and A. Jain, Markov Random Fields: Theory and Application, 1992.

D. Geman and C. Yang, Nonlinear image recovery with half-quadratic regularization, IEEE Transactions on Image Processing, vol.4, issue.7, pp.932-946, 1995.
DOI : 10.1109/83.392335

P. Charbonnier, L. Blanc-féraud, G. Aubert, and M. Barlaud, Deterministic edge-preserving regularization in computed imaging, IEEE Transactions on Image Processing, vol.6, issue.2, pp.298-311, 1997.
DOI : 10.1109/83.551699

J. Giovannelli, Unsupervised Bayesian Convex Deconvolution Based on a Field With an Explicit Partition Function, IEEE Transactions on Image Processing, vol.17, issue.1, pp.16-26, 2008.
DOI : 10.1109/TIP.2007.911819
URL : https://hal.archives-ouvertes.fr/hal-00879198

F. Orieux, J. Giovannelli, and T. Rodet, Bayesian estimation of regularization and point spread function parameters for Wiener???Hunt deconvolution, Journal of the Optical Society of America A, vol.27, issue.7, pp.1593-1607, 2010.
DOI : 10.1364/JOSAA.27.001593
URL : https://hal.archives-ouvertes.fr/hal-00674508

H. Helgason, V. Pipiras, and P. Abry, Fast and exact synthesis of stationary multivariate Gaussian time series using circulant embedding, Signal Processing, vol.91, issue.5, 2011.
DOI : 10.1016/j.sigpro.2010.10.014

J. Idier and E. , Bayesian Approach to Inverse Problems, 2008.
DOI : 10.1002/9780470611197
URL : https://hal.archives-ouvertes.fr/hal-00400668

H. Rue, S. Martino, and N. Chopin, Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.25, issue.2, pp.1-35, 2009.
DOI : 10.1111/j.1467-9868.2008.00700.x

S. Geman and D. Geman, Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images, IEEE Trans. Pattern Anal. Mach. Intell, vol.6, issue.6, pp.721-741, 1984.

O. Féron, B. Duchêne, and A. Mohammad-djafari, Microwave imaging of piecewise constant objects in a 2D-TE configuration, International Journal of Applied Electromagnetics and Mechanics, vol.26, issue.6, pp.167-174, 2007.

H. Ayasso and A. Mohammad-djafari, Joint NDT Image Restoration and Segmentation Using Gauss–Markov–Potts Prior Models and Variational Bayesian Computation, IEEE Transactions on Image Processing, vol.19, issue.9, pp.2265-2277, 2010.
DOI : 10.1109/TIP.2010.2047902

X. Tan, J. Li, and P. Stoica, Efficient sparse Bayesian learning via Gibbs sampling, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.3634-3637, 2010.
DOI : 10.1109/ICASSP.2010.5495896

J. Nocedal and S. J. Wright, Numerical Optimization, ser. Series in Operations Research, 2000.

S. C. Park, M. K. Park, and M. G. Kang, Super-resolution image reconstruction: a technical overview, IEEE Trans. Signal Processing Mag, pp.21-36, 2003.

G. Rochefort, F. Champagnat, G. L. Besnerais, and J. Giovannelli, An Improved Observation Model for Super-Resolution Under Affine Motion, IEEE Transactions on Image Processing, vol.15, issue.11, pp.3325-3337, 2006.
DOI : 10.1109/TIP.2006.881996

F. Orieux, E. Sepulveda, V. Loriette, B. Dubertret, and J. Olivo-marin, Bayesian Estimation for Optimized Structured Illumination Microscopy, IEEE Transactions on Image Processing, vol.21, issue.2, 2011.
DOI : 10.1109/TIP.2011.2162741
URL : https://hal.archives-ouvertes.fr/hal-01225862

J. Idier, Optimization and sampling in the Gaussian case, 2006.