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Image Restoration and Reconstruction are crucial topics that finds application in different fields, such as medicine, engineering, as well as in several scientific fields. Among the different approaches, Numerical Linear Algebra offers various computationally attractive techniques, which can be combined also with sophisticated nonlinear models, exploiting particular matrix structure, working in low dimensional subspaces, estimating efficiently the regularization parameters, and developing iterative methods able to preserve possible constraints on the computed solution.