Incomplete oblique projections method for solving regularized least-squares problems in image reconstruction
In this paper we improve on the incomplete oblique projections (IOP) method introduced previously by the authors for solving inconsistent linear systems, when applied to image reconstruction problems. That method uses IOP onto the set of solutions of the augmented system Ax−r=b, and converges to a w...
Guardado en:
Autores principales: | Scolnik, H.D., Echebest, N.E., Guardarucci, M.T. |
---|---|
Formato: | JOUR |
Materias: | |
Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_09696016_v15_n4_p417_Scolnik |
Aporte de: |
Ejemplares similares
-
Incomplete oblique projections method for solving regularized least-squares problems in image reconstruction
por: Scolnik, Hugo Daniel, et al.
Publicado: (2008) -
Incomplete oblique projections method for solving regularized least-squares problems in image reconstruction
Publicado: (2008) -
Implicit regularization of the incomplete oblique projections method
por: Scolnik, H.D., et al. -
Implicit regularization of the incomplete oblique projections method
Publicado: (2009) -
Extensions of incomplete oblique projections method for solving rank-deficient least-squares problems
por: Scolnik, H.D., et al.