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Automatic parameter selection for the TGV regularizer in image restoration under Poisson noise
Daniela di Serafino, Monica Pragliola
We address the image restoration problem under Poisson noise corruption. The Kullback-Leibler divergence, which is typically adopted in the variational framework as data fidelity t…
TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter
Daniela di Serafino, Germana Landi, Marco Viola
The problem of restoring images corrupted by Poisson noise is common in many application fields and, because of its intrinsic ill posedness, it requires regularization techniques f…
Spatially Adaptive Regularization in Image Segmentation
Laura Antonelli, Valentina De Simone, Daniela di Serafino
We modify the total-variation-regularized image segmentation model proposed by Chan, Esedoglu and Nikolova [SIAM Journal on Applied Mathematics 66, 2006] by introducing local regul…
Constraint-Preconditioned Krylov Solvers for Regularized Saddle-Point Systems
Daniela di Serafino, Dominique Orban
We consider the iterative solution of regularized saddle-point systems. When the leading block is symmetric and positive semi-definite on an appropriate subspace, Dollar, Gould, Sc…