| Journal: | Latin-American Journal of Computing (LAJC) |
| Database: | |
| System number: | 000565091 |
| ISSN: | 1390-9134 |
| Authors: | Villacís, David1 |
| Institutions: | 1Escuela Politécnica Nacional, |
| Year: | 2017 |
| Volumen: | 4 |
| Number: | 3 |
| Pages: | 37-42 |
| Country: | Ecuador |
| Language: | Inglés |
| English abstract | In this paper we are interested in comparing theperformance of some of the most relevant first order non-smoothoptimization methods applied to the Rudin, Osher and Fatemi(ROF) Image Denoising Model and a Primal-Dual Chambolle-Pock Image Denoising Model. Because of the properties of theresulting numerical schemes it is possible to handle these computationspixelwise, allowing implementations based on parallelparadigms which are helpful in the context of high resolutionimaging. |
| Keyword: | Non-smooth optimization methods., First Order Optimization Methods, Parallel Computing, High Resolution, Image Denoising |
| Full text: | Texto completo (Ver PDF) |
