A generalized matrix Krylov subspace method for TV regularization

10 Feb 2018 Bentbib A. Guide M. El Jbilou K.

This paper presents an efficient algorithm to solve total variation (TV) regularizations of images contaminated by a both blur and noise. The unconstrained structure of the problem suggests that one can solve a constrained optimization problem by transforming the original unconstrained minimization problem to an equivalent constrained minimization one... (read more)

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