Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/46818
Título: Computation time optimization in super-resolution applications
Autores/as: Quevedo, Eduardo 
Horat, David
Callicó, Gustavo M. 
Tobajas, Félix 
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Super-Resolution
Image enhancement
Computation time
Fecha de publicación: 2013
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 14th International Conference on Computer Aided Systems Theory (EUROCAST) 
14th International Conference on Computer Aided Systems Theory, EUROCAST 2013 
Resumen: The necessity to improve image resolution is of great concern in multiple diverse fields such as: medicine, communications, or satellite and underwater applications. A high variety of techniques for image enhancement has been proposed in the literature, being a trade-off the relation between the computation time and the quality of the obtained results. This work is focused on a test environment that permits to objectively compare the quality enhancement of images processed by two different improvement methods: bilinear interpolation and Super-Resolution (SR), presenting how these results relate to the computation time. The objective comparison is based on the PSNR (Peak Signal-to-Noise Ratio) and the SSIM (Structural SIMilarity).
URI: http://hdl.handle.net/10553/46818
ISBN: 9783642538612
ISSN: 0302-9743
DOI: 10.1007/978-3-642-53862-9-14
Fuente: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 8112 LNCS, p. 101-108
Colección:Actas de congresos
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