Primal-dual first order methods for total variation image restoration in presence of poisson noise
暂无分享,去创建一个
Valeria Ruggiero | Alessandro Benfenati | Silvia Bonettini | S. Bonettini | V. Ruggiero | A. Benfenati
[1] Mohamed-Jalal Fadili,et al. Linear inverse problems with various noise models and mixed regularizations , 2011, VALUETOOLS.
[2] Tony F. Chan,et al. A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science , 2010, SIAM J. Imaging Sci..
[3] Valeria Ruggiero,et al. On the Convergence of Primal–Dual Hybrid Gradient Algorithms for Total Variation Image Restoration , 2012, Journal of Mathematical Imaging and Vision.
[4] ANTONIN CHAMBOLLE,et al. An Algorithm for Total Variation Minimization and Applications , 2004, Journal of Mathematical Imaging and Vision.
[5] P. L. Combettes,et al. Variable metric forward–backward splitting with applications to monotone inclusions in duality , 2012, 1206.6791.
[6] José M. Bioucas-Dias,et al. Restoration of Poissonian Images Using Alternating Direction Optimization , 2010, IEEE Transactions on Image Processing.
[7] Gabriele Steidl,et al. Deblurring Poissonian images by split Bregman techniques , 2010, J. Vis. Commun. Image Represent..
[8] Antonin Chambolle,et al. A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging , 2011, Journal of Mathematical Imaging and Vision.
[9] R. Rockafellar. Convex Analysis: (pms-28) , 1970 .
[10] 丸山 徹. Convex Analysisの二,三の進展について , 1977 .
[11] Mohamed-Jalal Fadili,et al. Inverse problems with poisson noise: Primal and primal-dual splitting , 2011, 2011 18th IEEE International Conference on Image Processing.
[12] Stephen M. Robinson,et al. Linear convergence of epsilon-subgradient descent methods for a class of convex functions , 1999, Math. Program..
[13] S. Anthoine,et al. Some proximal methods for CBCT and PET tomography , 2011, Optical Engineering + Applications.
[14] Alfredo N. Iusem,et al. On the projected subgradient method for nonsmooth convex optimization in a Hilbert space , 1998, Math. Program..
[15] I. Ekeland,et al. Convex analysis and variational problems , 1976 .
[16] J. Aujol,et al. Some proximal methods for Poisson intensity CBCT and PET , 2012 .
[17] Jean-François Aujol,et al. Some First-Order Algorithms for Total Variation Based Image Restoration , 2009, Journal of Mathematical Imaging and Vision.
[18] Stephen J. Wright,et al. Duality-based algorithms for total-variation-regularized image restoration , 2010, Comput. Optim. Appl..
[19] Thomas J. Asaki,et al. A Variational Approach to Reconstructing Images Corrupted by Poisson Noise , 2007, Journal of Mathematical Imaging and Vision.
[20] Robert D. Nowak,et al. Platelets: a multiscale approach for recovering edges and surfaces in photon-limited medical imaging , 2003, IEEE Transactions on Medical Imaging.
[21] Michael Patriksson,et al. On the convergence of conditional epsilon-subgradient methods for convex programs and convex-concave saddle-point problems , 2003, Eur. J. Oper. Res..
[22] Mingqiang Zhu,et al. An Efficient Primal-Dual Hybrid Gradient Algorithm For Total Variation Image Restoration , 2008 .