| Fecha: |
2014 |
| Resumen: |
In this work we propose a framework for increasing the processing efficiency of super-resolution algorithms. The framework is targeted at super-resolution video processing algorithms, that require a large amount of data processing. We propose a set of strategies that use a combination of data simplification and parallel processing. The simplification strategies are used to decrease the amount of complex data and, consequently, decrease the processing time. The parallel processing strategies are designed so that major modifications of the super-resolution algorithms are not required. As presented in this work, the framework is fast and makes the video resolution increase timely. |
| Nota: |
Advisor: Mylène C.Q. Farias. Date and location of PhD thesis defense: 19 February 2013, University of Brasília |
| Derechos: |
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.  |
| Lengua: |
Anglès |
| Documento: |
Altres ; recerca ; Versió publicada |
| Materia: |
Super-resolution ;
Parallel video processing ;
Image visual simplification |
| Publicado en: |
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 56-57, ISSN 1577-5097 |
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