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Publications about Inverse Problems
Result of the query in the list of publications :
2 Articles |
1 - Régularité et parcimonie pour les problèmes inverses en imagerie : algorithmes et comparaisons.
M. Carlavan and P. Weiss and L. Blanc-Féraud. Traitement du Signal, 27(2): pages 189-219, September 2010.
Keywords : Inverse Problems, Regularization, Total variation, Wavelets.
@ARTICLE{TSCarlavan2010,
|
| author |
= |
{Carlavan, M. and Weiss, P. and Blanc-Féraud, L.}, |
| title |
= |
{Régularité et parcimonie pour les problèmes inverses en imagerie : algorithmes et comparaisons}, |
| year |
= |
{2010}, |
| month |
= |
{September}, |
| journal |
= |
{Traitement du Signal}, |
| volume |
= |
{27}, |
| number |
= |
{2}, |
| pages |
= |
{189-219}, |
| url |
= |
{http://hal.inria.fr/inria-00503050/fr/}, |
| pdf |
= |
{http://www.math.univ-toulouse.fr/~weiss/Publis/TS_Carlavan_Weiss_BlancFeraud_2010.pdf}, |
| keyword |
= |
{Inverse Problems, Regularization, Total variation, Wavelets} |
| } |
Résumé :
Dans cet article, nous nous intéressons à la régularisation de problèmes inverses reposant sur des critères l1 . Nous séparons ces critères en deux catégories : ceux qui favorisent la régularisation des signaux (à variation totale bornée par exemple) et ceux qui expriment le fait qu'un signal admet une représentation parcimonieuse dans un dictionnaire. Dans une première partie, nous donnons quelques éléments de comparaisons théoriques et pratiques sur les deux a priori, pour aider le lecteur à choisir l'un ou l'autre en fonction de son problème. Pour cette étude, nous utilisons les transformées communément utilisées telles que la variation totale, les ondelettes redondantes ou les curvelets. Dans une deuxième partie, nous proposons un état des lieux des algorithmes de premier ordre adaptés à la minimisation de ces critères. |
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2 - Blind deconvoltion for thin layered confocal imaging.
P. Pankajakshan and B. Zhang and L. Blanc-Féraud and Z. Kam and J.C. Olivo-Marin and J. Zerubia. Applied Optics, 48(22): pages 4437-4448, August 2009.
Keywords : Blind Deconvolution, Confocal microscopy, Inverse Problems.
Copyright : Optical Society of America
@ARTICLE{ppankajakshan09b,
|
| author |
= |
{Pankajakshan, P. and Zhang, B. and Blanc-Féraud, L. and Kam, Z. and Olivo-Marin, J.C. and Zerubia, J.}, |
| title |
= |
{Blind deconvoltion for thin layered confocal imaging}, |
| year |
= |
{2009}, |
| month |
= |
{August}, |
| journal |
= |
{Applied Optics}, |
| volume |
= |
{48}, |
| number |
= |
{22}, |
| pages |
= |
{4437-4448}, |
| pdf |
= |
{http://hal.inria.fr/docs/00/39/55/23/PDF/AppliedOpticsPaperTypesetting.pdf}, |
| keyword |
= |
{Blind Deconvolution, Confocal microscopy, Inverse Problems} |
| } |
Abstract :
We propose an alternate minimization algorithm for estimating the point-spread function (PSF) of a confocal laser scanning microscope and the specimen fluorescence distribution. A three-dimensional separable Gaussian model is used to restrict the PSF solution space and a constraint on the specimen is used so as to favor the stabilization and convergence of the algorithm. The results obtained from the simulation show that the PSF can be estimated to a high degree of accuracy, and those on real data show better deconvolution as compared to a full theoretical PSF model. |
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2 Collection articles or Books chapters |
1 - Deconvolution of images.
J. Idier and L. Blanc-Féraud. In Bayesian approach to inverse problems, Ed. J. Idier, Publ. ISTE and John Wiley & Sons, 2008.
Keywords : Inverse Problems, Bayesian approach, Image procressing.
Copyright : ISTE Ltd
@INCOLLECTION{blancferaud08,
|
| author |
= |
{Idier, J. and Blanc-Féraud, L.}, |
| title |
= |
{Deconvolution of images}, |
| year |
= |
{2008}, |
| booktitle |
= |
{Bayesian approach to inverse problems}, |
| editor |
= |
{J. Idier}, |
| publisher |
= |
{ISTE and John Wiley & Sons}, |
| url |
= |
{http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1848210329.html}, |
| pdf |
= |
{http://onlinelibrary.wiley.com/doi/10.1002/9780470611197.ch6/summary}, |
| keyword |
= |
{Inverse Problems, Bayesian approach, Image procressing} |
| } |
|
2 - Unsupervised problems.
X. Descombes and Y. Goussard. In Bayesian approach to inverse problems, Ed. J. Idier, Publ. ISTE and John Wiley & Sons, 2008.
Note : to appear.
Keywords : Inverse Problems, Bayesian approach, Image procressing.
Copyright : ISTE Ltd
@INCOLLECTION{descombes08,
|
| author |
= |
{Descombes, X. and Goussard, Y.}, |
| title |
= |
{Unsupervised problems}, |
| year |
= |
{2008}, |
| booktitle |
= |
{Bayesian approach to inverse problems}, |
| editor |
= |
{J. Idier}, |
| publisher |
= |
{ISTE and John Wiley & Sons}, |
| url |
= |
{http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1848210329.html}, |
| pdf |
= |
{http://onlinelibrary.wiley.com/doi/10.1002/9780470611197.ch8/summary}, |
| keyword |
= |
{Inverse Problems, Bayesian approach, Image procressing} |
| } |
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