EnglishThe aim of this special issue is to focus on the growing interaction between inverse problems in imaging science and optimization, that in recent years has given rise to significant advances in both the areas: optimization-based tools have been developed to solve challenging image reconstruction problems while the experience with imaging problems has led to an improved and deeper understanding of certain optimization algorithms. The issue includes 10 peer reviewed papers whose contributions represent new advances in numerical optimization for inverse problems with significant impact in signal and image processing.
Special Issue on "Optimization Methods for Inverse Problems in Imaging": Guest Editorial / M., Bertero; V., Ruggiero; Zanni, Luca. - In: COMPUTATIONAL OPTIMIZATION AND APPLICATIONS. - ISSN 0926-6003. - STAMPA. - 54(2013), pp. 211-213.
| Data di pubblicazione: | 2013 | |
| Titolo: | Special Issue on "Optimization Methods for Inverse Problems in Imaging": Guest Editorial | |
| Autore/i: | M., Bertero; V., Ruggiero; Zanni, Luca | |
| Autore/i UNIMORE: | ||
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/s10589-013-9536-9 | |
| Codice identificativo Scopus: | 2-s2.0-84877078638 | |
| Rivista: | COMPUTATIONAL OPTIMIZATION AND APPLICATIONS | |
| Titolo del libro: | Optimization Methods for Inverse Problems in Imaging | |
| Volume: | 54 | |
| Pagina iniziale: | 211 | |
| Pagina finale: | 213 | |
| Citazione: | Special Issue on "Optimization Methods for Inverse Problems in Imaging": Guest Editorial / M., Bertero; V., Ruggiero; Zanni, Luca. - In: COMPUTATIONAL OPTIMIZATION AND APPLICATIONS. - ISSN 0926-6003. - STAMPA. - 54(2013), pp. 211-213. | |
| Tipologia | Abstract in Rivista |
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