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- W4287196534 abstract "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 for its solution. The effectiveness of such techniques depends on the value of the regularization parameter balancing data fidelity and regularity of the solution. Here we consider the Total Generalized Variation regularization introduced in [SIAM J. Imag. Sci, 3(3), 492-526, 2010], which has demonstrated its ability of preserving sharp features as well as smooth transition variations, and introduce an automatic strategy for defining the value of the regularization parameter. We solve the corresponding optimization problem by using a 3-block version of ADMM. Preliminary numerical experiments support the proposed approach." @default.
- W4287196534 created "2022-07-25" @default.
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- W4287196534 date "2021-04-29" @default.
- W4287196534 modified "2023-10-14" @default.
- W4287196534 title "TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter" @default.
- W4287196534 doi "https://doi.org/10.48550/arxiv.2104.14452" @default.
- W4287196534 hasPublicationYear "2021" @default.
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