| Texto completo | |
| Autor(es): |
Helou, E. S.
;
Zibetti, M. V. W.
;
Miqueles, E. X.
Número total de Autores: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | INVERSE PROBLEMS; v. 33, n. 4 APR 2017. |
| Citações Web of Science: | 4 |
| Resumo | |
We propose the superiorization of incremental algorithms for tomographic image reconstruction. The resulting methods follow a better path in its way to finding the optimal solution for the maximum likelihood problem in the sense that they are closer to the Pareto optimal curve than the non-superiorized techniques. A new scaled gradient iteration is proposed and three super-iorization schemes are evaluated. Theoretical analysis of the methods as well as computational experiments with both synthetic and real data are provided. (AU) | |
| Processo FAPESP: | 13/07375-0 - CeMEAI - Centro de Ciências Matemáticas Aplicadas à Indústria |
| Beneficiário: | Francisco Louzada Neto |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs |