Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery

Abstract

We address the minimization of regularized convex cost functions which are customarily used for edge-preserving restoration and reconstruction of signals and images. In order to accelerate computation, the multiplicative and the additive half-quadratic reformulation of the original cost-function have been pioneered in Geman & Reynolds (1992) and Geman… (More)
DOI: 10.1137/030600862

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