R. M. Lewitt, Multidimensional digital image representations using generalized Kaiser???Bessel window functions, Journal of the Optical Society of America A, vol.7, issue.10, pp.1834-1848, 1990.
DOI : 10.1364/JOSAA.7.001834

R. M. Lewitt, Alternatives to voxels for image representation in iterative reconstruction algorithms, Physics in Medicine and Biology, vol.37, issue.3, pp.705-716, 1992.
DOI : 10.1088/0031-9155/37/3/015

S. Matej and R. M. Lewitt, Practical considerations for 3-D image reconstruction using spherically symmetric volume elements, IEEE Transactions on Medical Imaging, vol.15, issue.1, pp.68-78, 1996.
DOI : 10.1109/42.481442

A. Andreyev, M. Defrise, and C. Vanhove, Pinhole SPECT Reconstruction Using Blobs and Resolution Recovery, IEEE Transactions on Nuclear Science, vol.53, issue.5, pp.2719-2728, 2006.
DOI : 10.1109/TNS.2006.878004

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

M. Elad and A. Feuer, Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images, IEEE Transactions on Image Processing, vol.6, issue.12, pp.1646-1658, 1997.
DOI : 10.1109/83.650118

M. Elad and A. Feuer, Superresolution restoration of an image sequence: adaptive filtering approach, IEEE Transactions on Image Processing, vol.8, issue.3, pp.387-395, 1999.
DOI : 10.1109/83.748893

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

A. J. Patti, M. I. Sezan, and A. M. Tekalp, Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture time, IEEE Transactions on Image Processing, vol.6, issue.8, pp.1064-1076, 1997.
DOI : 10.1109/83.605404

R. C. Hardie, K. J. Barnard, and E. E. Armstrong, Joint MAP registration and high-resolution image estimation using a sequence of undersampled images, IEEE Transactions on Image Processing, vol.6, issue.12, pp.1621-1633, 1997.
DOI : 10.1109/83.650116

N. A. Woods, N. P. Galatsanos, and A. K. Katsaggelos, Stochastic methods for joint registration, restoration, and interpolation of multiple undersampled images, IEEE Transactions on Image Processing, vol.15, issue.1, pp.201-213, 2006.
DOI : 10.1109/TIP.2005.860355

P. Vandewalle, L. Sbaiz, J. Vandewalle, and M. Vetterli, Super-Resolution From Unregistered and Totally Aliased Signals Using Subspace Methods, IEEE Transactions on Signal Processing, vol.55, issue.7, pp.3687-3703, 2007.
DOI : 10.1109/TSP.2007.894257
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.9235

M. Piana, A. M. Massone, G. J. Hurford, M. Prato, A. G. Emslie et al., Electron Flux Spectral Imaging of Solar Flares through Regularized Analysis of Hard X???Ray Source Visibilities, The Astrophysical Journal, vol.665, issue.1, pp.846-855, 2007.
DOI : 10.1086/519518

J. W. Goodman, Introduction à l'optique de Fourier et à l'holographie, 1972.

A. Tikhonov and V. Arsenin, Solutions of Ill-Posed Problems, 1977.

H. C. Andrews and B. R. Hunt, Digital Image Restoration, 1977.

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

M. Bertero, C. D. Mol, and E. R. Pike, Linear inverse problems with discrete data. I. General formulation and singular system analysis, Inverse Problems, vol.1, issue.4, pp.301-330, 1985.
DOI : 10.1088/0266-5611/1/4/004

M. Bertero, C. D. Mol, and E. R. Pike, Linear inverse problems with discrete data: II. Stability and regularisation, Inverse Problems, vol.4, issue.3, p.3, 1988.
DOI : 10.1088/0266-5611/4/3/004

G. Demoment, Image reconstruction and restoration: overview of common estimation structures and problems, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.37, issue.12, pp.2024-2036, 1989.
DOI : 10.1109/29.45551

R. R. Schultz and R. L. Stevenson, Extraction of high-resolution frames from video sequences, IEEE Transactions on Image Processing, vol.5, issue.6, pp.996-1011, 1996.
DOI : 10.1109/83.503915

N. Nguyen, P. Milanfar, and G. Golub, A computationally efficient superresolution image reconstruction algorithm, IEEE Transactions on Image Processing, vol.10, issue.4, pp.573-583, 2001.
DOI : 10.1109/83.913592

F. Humblot and A. Mohammad-djafari, Super-Resolution Using Hidden Markov Model and Bayesian Detection Estimation Framework, EURASIP Journal on Advances in Signal Processing, vol.14, issue.2, pp.1-16, 2006.
DOI : 10.1155/ASP/2006/36971
URL : https://hal.archives-ouvertes.fr/hal-00449841

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

E. Polak, Computational Methods in Optimization, 1971.

M. Compiègne, A. Abergel, L. Verstraete, W. T. Reach, E. Habart et al., Aromatic emission from the ionised mane of the Horsehead nebula, Astronomy and Astrophysics, vol.471, issue.1, pp.205-212, 2007.
DOI : 10.1051/0004-6361:20066172