%0 Conference Paper %1 ICASSP_2012_Jezierska_etal %A Jezierska, A. %A Chouzenoux, E. %A Pesquet, J.-C. %A Talbot, H. %B IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) %D 2012 %K CCD approach;signal cameras;Lipschitz data differentiability;Poisson-Gaussian image log-likelihood;Poisson-Gaussian microscopy;image model;Poisson-Gaussian noise;convex optimization;corrupted programming;image proximal reconstruction;CCD restoration;data restoration;imaging restoration;statistics; sensors;Gaussian splitting statistics;fluorescence systems;primal-dual %P 1085 -1088 %R 10.1109/ICASSP.2012.6288075 %T A primal-dual proximal splitting approach for restoring data corrupted with poisson-gaussian noise

@inproceedings{ICASSP_2012_Jezierska_etal, added-at = {2014-12-31T13:29:52.000+0100}, author = {Jezierska, A. and Chouzenoux, E. and Pesquet, J.-C. and Talbot, H.}, bdsk-url-1 = {http://dx.doi.org/10.1109/ICASSP.2012.6288075}, biburl = {https://www.bibsonomy.org/bibtex/2c7f5fd275480c61a9c87da865937fee9/hugues_talbot}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, date-added = {2012-11-19 12:58:11 +0100}, date-modified = {2012-11-19 13:01:25 +0100}, doi = {10.1109/ICASSP.2012.6288075}, interhash = {0b038487750a65649f0ec217014034f6}, intrahash = {c7f5fd275480c61a9c87da865937fee9}, issn = {1520-6149}, keywords = {CCD approach;signal cameras;Lipschitz data differentiability;Poisson-Gaussian image log-likelihood;Poisson-Gaussian microscopy;image model;Poisson-Gaussian noise;convex optimization;corrupted programming;image proximal reconstruction;CCD restoration;data restoration;imaging restoration;statistics; sensors;Gaussian splitting statistics;fluorescence systems;primal-dual}, month = {march}, pages = {1085 -1088}, timestamp = {2014-12-31T13:29:52.000+0100}, title = {A primal-dual proximal splitting approach for restoring data corrupted with poisson-gaussian noise}, year = 2012 }