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.; Pragliola M.; Reichel L.; Sgallari F.. - In: ANNALI DELL'UNIVERSITÀ DI FERRARA. SEZIONE 7: SCIENZE MATEMATICHE. - ISSN 0430-3202. - STAMPA. - 68:2(2022), pp. 441-463. [10.1007/s11565-022-00430-9]
A comparison of parameter choice rules for ℓp - ℓq minimization
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.| File | Dimensione | Formato | |
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