Images that have been contaminated by various kinds of blur and noise can be restored by the minimization of an ℓp-ℓq functional. The quality of the reconstruction depends on the choice of a regularization parameter. Several approaches to determine this parameter have been described in the literature. This work presents a numerical comparison of known approaches as well as of a new one.

A comparison of parameter choice rules for ℓp - ℓq minimization

Buccini A.;Reichel L.;Sgallari F.
2022

Abstract

Images that have been contaminated by various kinds of blur and noise can be restored by the minimization of an ℓp-ℓq functional. The quality of the reconstruction depends on the choice of a regularization parameter. Several approaches to determine this parameter have been described in the literature. This work presents a numerical comparison of known approaches as well as of a new one.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/346595
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