R. S. Henrot, C. Soussen, and D. Brie, Fast Positive Deconvolution of Hyperspectral Images, Liste des publications Articles de revue internationale avec actes et comité de lecture [, pp.828-833, 2013.
DOI : 10.1109/TIP.2012.2216280
URL : https://hal.archives-ouvertes.fr/hal-00730503

C. [. Henrot, M. Soussen, D. Dossot, and . Brie, Does Deblurring Improve Geometrical Spectral Unmixing, IEEE Transactions on Image Processing, pp.1-14
DOI : 10.1109/tip.2014.2300822

. Actes-de-congrès-internationaux-avec-comité-de-lecture-[-c1-]-s, C. Henrot, D. Soussen, and . Brie, Fast deconvolution of large fluorescence hyperspectral images, Proc. IEEE WHISPERS, 2011.

S. Henrot, S. Moussaoui, C. Soussen, and D. Brie, Edge-preserving nonnegative hyperspectral image restoration, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013.
DOI : 10.1109/ICASSP.2013.6637926
URL : https://hal.archives-ouvertes.fr/hal-00905212

. Actes-de-congrès-nationaux-avec-comité-de-lecture-[-n1-]-s, C. Henrot, D. Soussen, and . Brie, Déconvolution rapide d'images hyperspectrales de fluorescence, Proc. 23th GRETSI workshop, 2011.

C. [. Henrot, S. Soussen, D. Moussaoui, and . Brie, Restauration positive d'images hyperspectrales avec préservation des contours, Proc. 24th GRETSI workshop, 2013.

. S. Communications, C. Henrot, D. Soussen, and . Brie, Déconvolution rapide d'images hyperspectrales de grande dimension, Journée thématique Problèmes inverses, 2011.

C. [. Henrot, D. Soussen, and . Brie, Déconvolution d'images hyperspectrales de fluorescence en microscopie confocale sous contrainte de positivité, Journée Traitement d'Images en Imagerie Biologique, 2011.

C. [. Henrot, S. Soussen, D. Moussaoui, and . Brie, Restauration positive d'images hyperspectrales avec préservation des contours, Journée Optimisation convexe sous contrainte, 2013.

E. [. Henrot, E. D. Djermoune, and . Brie, Surveillance des réacteurs SFR : Analyse des données acoustiques des GV de PFR", in Supervision, surveillance et sûreté de fonctionnement des grands systèmes, pp.273-288, 2012.

E. [. Henrot, D. Djermoune, and . Brie, SVM Time-frequency classification for the detection of injection states Does deblurring improve geometrical spectral unmixing ?, Supervision and Safety of Complex Systems, pp.231-245, 2012.

.. Modèle-linéaire-de-mélange, 69 8.2.2 Réduction de dimension et projection affine, p.71

C. Chouzenoux, 83 A.2. Cas bidimensionnel A.2 Cas bidimensionnel Algorithme primal-dual de points intérieurs pour l'estimation pénalisée des cartes d'abondances en imagerie hyperspectrale, 2011.

C. Et-pesquet-]-combettes, P. Et-pesquet, and J. , Proximal Thresholding Algorithm for Minimization over Orthonormal Bases, SIAM Journal on Optimization, vol.18, issue.4, pp.1351-1376, 2007.
DOI : 10.1137/060669498

C. Et-pesquet-]-combettes, P. Et-pesquet, and J. , Proximal splitting methods in signal processing, Fixed-Point Algorithms for Inverse Problems in Science and Engineering, pp.185-212, 2011.

C. Et-jutten-]-comon, P. Et-jutten, and C. , Séparation de Sources ? Tome 2 : au-delà de l'aveugle et applications, Traité IC2, Série traitement du signal et de l'image, 2007.

M. Craig, Minimum-volume transforms for remotely sensed data, IEEE Transactions on Geoscience and Remote Sensing, vol.32, issue.3, pp.542-552, 1994.
DOI : 10.1109/36.297973

[. Grauw, Axial resolution of confocal Raman microscopes: Gaussian beam theory and practice, Journal of Microscopy, vol.188, issue.03, pp.273-279, 1997.
DOI : 10.1046/j.1365-2818.1997.2620818.x

[. Veij, Reference database of Raman spectra of pharmaceutical excipients, Journal of Raman Spectroscopy, issue.3, pp.40297-307, 2009.

I. Demoment, G. Demoment, J. Et-idier, and . Dey, Régularisation d'un problème malposé : approches génériques Série traitement du signal et de l'image, Hermès 3D microscopy deconvolution using Richardson-Lucy algorithm with total variation regularization, Approche bayésienne pour les problèmes inverses Institut National de Recherche en Informatique et en Automatique, pp.41-58, 2001.

. Dupé, A Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations, IEEE Transactions on Image Processing, vol.18, issue.2, pp.310-321, 2009.
DOI : 10.1109/TIP.2008.2008223

Y. C. Eldar, Generalized SURE for Exponential Families: Applications to Regularization, IEEE Transactions on Signal Processing, vol.57, issue.2, pp.471-481, 2009.
DOI : 10.1109/TSP.2008.2008212

J. A. Fessler, Penalized weighted least-squares image reconstruction for positron emission tomography, IEEE Transactions on Medical Imaging, vol.13, issue.2, pp.290-300, 1994.
DOI : 10.1109/42.293921

M. Figueiredo and J. Et-bioucas-dias, Restoration of Poissonian Images Using Alternating Direction Optimization, IEEE Transactions on Image Processing, vol.19, issue.12, pp.3133-3145, 2010.
DOI : 10.1109/TIP.2010.2053941

C. Galatsanos, N. P. Galatsanos, and R. T. Et-chin, Digital restoration of multichannel images, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.37, issue.3, pp.415-421, 1989.
DOI : 10.1109/29.21708

. Idier, J. Blanc-féraud-]-idier, and L. Et-blanc-féraud, Déconvolution en imagerie, Approche bayésienne pour les problèmes inverses, pp.139-165, 2001.

C. Ifarraguerri, A. Ifarraguerri, and C. Chang, Multispectral and hyperspectral image analysis with convex cones, IEEE Transactions on Geoscience and Remote Sensing, vol.37, issue.2, pp.756-770, 1999.
DOI : 10.1109/36.752192

K. Et-hatzinakos-]-kundur, D. Et-hatzinakos, and D. , Blind image deconvolution, IEEE Signal Processing Magazine, vol.13, issue.3, pp.43-64, 1996.
DOI : 10.1109/79.489268

. Legendre, GPU implementation issues for fast unmixing of hyperspectral images, EGU General Assembly Conference Abstracts, p.11686, 2013.

. Lin, On the endmember identifiability of Craig's criterion for hyperspectral unmixing: A statistical analysis for three-source case, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013.
DOI : 10.1109/ICASSP.2013.6638032

V. N. Mahajan-et-shannon-]-mahajan and R. R. Et-shannon, Zernike circle polynomials and optical aberrations of systems with circular pupils, 1994.

C. Markham, J. Markham, and J. Et-conchello, Parametric blind deconvolution: a robust method for the simultaneous estimation of image and blur, Journal of the Optical Society of America A, vol.16, issue.10, pp.162377-2391, 1999.
DOI : 10.1364/JOSAA.16.002377

. Matakos, Accelerated Edge-Preserving Image Restoration Without Boundary Artifacts, IEEE Transactions on Image Processing, vol.22, issue.5, 2013.
DOI : 10.1109/TIP.2013.2244218
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3609946

V. Mazet, Développement de méthodes de traitement de signaux spectroscopiques : estimation de la ligne de base et du spectre de raies. These, 2005.

Q. Miao, L. Miao, and H. Et-qi, Endmember Extraction From Highly Mixed Data Using Minimum Volume Constrained Nonnegative Matrix Factorization, IEEE Transactions on Geoscience and Remote Sensing, vol.45, issue.3, pp.45765-777, 2007.
DOI : 10.1109/TGRS.2006.888466

. Moudden, An iterative thresholding algorithm for joint deconvolution and separation of multichannel data, 2008.

P. Moulin, Advanced image processing. Course notes, 2008.

S. Moussaoui, Séparation de sources non-négatives, 2005.

. Moussaoui, Non-negative Source Separation: Range of Admissible Solutions and Conditions for the Uniqueness of the Solution, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., p.289, 2005.
DOI : 10.1109/ICASSP.2005.1416297

. Moussaoui, Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling, IEEE Transactions on Signal Processing, vol.54, issue.11, pp.544133-4145, 2006.
DOI : 10.1109/TSP.2006.880310
URL : https://hal.archives-ouvertes.fr/hal-00121602

. Moussaoui, On the decomposition of Mars hyperspectral data by ICA and Bayesian positive source separation, Neurocomputing, vol.71, issue.10-12, pp.7110-122194, 2008.
DOI : 10.1016/j.neucom.2007.07.034
URL : https://hal.archives-ouvertes.fr/hal-00272349

. Nascimento, J. Bioucas-dias-]-nascimento, and J. Et-bioucas-dias, Vertex component analysis: a fast algorithm to unmix hyperspectral data, IEEE Transactions on Geoscience and Remote Sensing, vol.43, issue.4, pp.898-910, 2005.
DOI : 10.1109/TGRS.2005.844293

W. Nocedal, J. Nocedal, and S. Wright, Numerical Optimization, 2006.
DOI : 10.1007/b98874

R. Nowak, Fast convolution using the FFT. Retrieved from the Connexions Web site : http ://cnx.org/content, 2005.

. Ouedraogo, Geometrical Method Using Simplicial Cones for Overdetermined Nonnegative Blind Source Separation: Application to Real PET Images, Latent Variable Analysis and Signal Separation, pp.494-501, 2012.
DOI : 10.1016/S0169-7439(96)00048-2
URL : https://hal.archives-ouvertes.fr/hal-00687436

P. Pankajakshan, Parametric Blind Deconvolution for Confocal Laser Scanning Microscopy, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2010.
DOI : 10.1109/IEMBS.2007.4353856
URL : https://hal.archives-ouvertes.fr/inria-00269265

. Pankajakshan, Point-Spread Function retrieval for fluorescence microscopy, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.1095-1098, 2009.
DOI : 10.1109/ISBI.2009.5193247
URL : https://hal.archives-ouvertes.fr/inria-00395534

. Pankajakshan, Space non-invariant point-spread function and its estimation in fluorescence microscopy, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00438719

. Park, Semi-Blind Sparse Image Reconstruction With Application to MRFM, IEEE Transactions on Image Processing, vol.21, issue.9, pp.3838-3849, 2012.
DOI : 10.1109/TIP.2012.2199505
URL : https://hal.archives-ouvertes.fr/hal-00729998

. Plaza, Parallel Hyperspectral Image and Signal Processing [Applications Corner], IEEE Signal Processing Magazine, vol.28, issue.3, pp.119-126, 2011.
DOI : 10.1109/MSP.2011.940409

. Press, Numerical recipes : The art of scientific computing, 2007.

N. Pustelnik, Méthodes proximales pour la résolution de problèmes inverses Application à la Tomographie par Emission de Positrons, 2010.

A. Richard, Traitement statistique du signal, 2009.

W. H. Richardson, Bayesian-Based Iterative Method of Image Restoration*, Journal of the Optical Society of America, vol.62, issue.1, pp.55-59, 1972.
DOI : 10.1364/JOSA.62.000055

. Rodet, Data Inversion for Over-Resolved Spectral Imaging in Astronomy, IEEE Journal of Selected Topics in Signal Processing, vol.2, issue.5, pp.802-811, 2008.
DOI : 10.1109/JSTSP.2008.2006392
URL : https://hal.archives-ouvertes.fr/hal-00411775

S. Sahnoun, Développement de méthodes d'estimation modale de signaux multidimensionnels. Application à la spectroscopie RMN multidimensionnelle. These, 2012.

. Sarder, . Nehorai, P. Sarder, and A. Et-nehorai, Deconvolution methods for 3-D fluorescence microscopy images, Proc. Mag, pp.32-45, 2006.
DOI : 10.1109/MSP.2006.1628876

S. Shah, Deconvolution algorithms for fluorescence and electron microscopy, 2006.

B. Shaw, G. A. Shaw, and H. K. Burke, Spectral imaging for remote sensing, pp.3-28, 2003.

. Soulez, Blind deconvolution of 3D data in wide field fluorescence microscopy, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), pp.1735-1738, 2012.
DOI : 10.1109/ISBI.2012.6235915
URL : https://hal.archives-ouvertes.fr/hal-00691249

. Soulez, Deconvolution of (x, y, wavelength) images. Astronomical Data Analysis V, p.14, 2008.
URL : https://hal.archives-ouvertes.fr/ujm-00285742

. Soulez, Heterogeneous multidimensional data deblurring, Eur. Sig. Proc. Conference, 2008.
URL : https://hal.archives-ouvertes.fr/ujm-00293660

. Soussen, Complexity reduction by convex cone detection for unmixing hyperspectral images of bacterial biosensors, Eur. Sig. Proc. Conference, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00384799

R. Tibshirani, Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society. Series B (Methodological), pp.267-288, 1996.

. Török, The role of specimen-induced spherical aberration in confocal microscopy, Journal of Microscopy, vol.188, issue.2, pp.158-172, 1997.
DOI : 10.1046/j.1365-2818.1997.2440802.x

H. A. Van-der-vorst, Bi-CGSTAB: A Fast and Smoothly Converging Variant of Bi-CG for the Solution of Nonsymmetric Linear Systems, SIAM Journal on Scientific and Statistical Computing, vol.13, issue.2, pp.631-644, 1992.
DOI : 10.1137/0913035

. Villeneuve, PSF estimation of hyperspectral data acquisition system for ground-based astrophysical observations, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), pp.1-4, 2011.
DOI : 10.1109/WHISPERS.2011.6080902

. Vonesch, The colored revolution of bioimaging, Proc. Mag, pp.20-31, 2006.
DOI : 10.1109/MSP.2006.1628875

. Vonesch, Recursive risk estimation for non-linear image deconvolution with a wavelet-domain sparsity constraint Raman spectroscopic studies on single supersaturated droplets of sodium and magnesium acetate, Image Processing 15th IEEE International Conference on, pp.665-668609, 2005.

M. E. Winter, N-findr : an algorithm for fast autonomous spectral endmember determination in hyperspectral data, SPIE's International Symposium on Optical Science, Engineering, and Instrumentation International Society for Optics and Photonics, pp.266-275, 1999.

B. Zhang, Contributions à la microscopie à fluorescence en imagerie biologique : modélisation de la PSF, restauration d'images et détection super-résolutive, 2007.

. Zhang, Gaussian approximations of fluorescence microscope point-spread function models, Applied Optics, vol.46, issue.10, pp.1819-1829, 2007.
DOI : 10.1364/AO.46.001819
URL : https://hal.archives-ouvertes.fr/pasteur-00163734

. Zhang, A hyperspectral image restoration technique, 2009 16th IEEE International Conference on Image Processing (ICIP), 2009.
DOI : 10.1109/ICIP.2009.5414587

. Zhao, Deblurring and Sparse Unmixing for Hyperspectral Images, IEEE Transactions on Geoscience and Remote Sensing, vol.51, issue.7, pp.1-14, 2013.
DOI : 10.1109/TGRS.2012.2227764

. Zhou, . Suri, Y. Zhou, and S. Et-suri, Algorithms for a Minimum Volume Enclosing Simplex in Three Dimensions, SIAM Journal on Computing, vol.31, issue.5, pp.311339-1357, 2002.
DOI : 10.1137/S0097539799363992

. Zhu, . Milanfar, X. Zhu, and P. Et-milanfar, Automatic parameter selection for denoising algorithms using a no-reference measure of image content, IEEE Transactions on Image Processing, vol.19, issue.12, pp.3116-3132, 2010.

. Zibulevsky, . Elad, M. Zibulevsky, and M. Et-elad, L1-L2 Optimization in Signal and Image Processing, IEEE Signal Processing Magazine, vol.27, issue.3, pp.76-88, 2010.
DOI : 10.1109/MSP.2010.936023
URL : https://hal.archives-ouvertes.fr/inria-00567455