Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/46822
Título: Real-time super-resolution over raw video sequences
Autores/as: Barreto, D.
Callicó, G. M. 
López, S. 
García, L.
Núñez, A. 
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Motion estimation
Image segmentation
Spatial resolution
Reconstruction algorithms
Lawrencium, et al.
Fecha de publicación: 2005
Publicación seriada: Proceedings of SPIE - The International Society for Optical Engineering 
Conferencia: VLSI Circuits and Systems II 
Resumen: This paper addresses the enhancement of the spatial resolution of a video sequence from a low resolution video sequence in real time. The technique used, known as super-resolution reconstruction, exploits the relative motion from frame to frame that produces sub-pixel shifts. The algorithm, based on a previous version mapped onto a video encoder architecture, is oriented towards a hardware implementation and requires resources optimization. In order to achieve a good resolution improvement, the motion estimation algorithm must produce motion vectors as close to the real ones as possible. At the same time, this motion estimation must match real time requirements. Therefore, an exhaustive technique is applied in combination with a simple segmentation of each frame for a motion prediction refinement. Experimental results have been obtained for a set of video sequences subjected to different motion characteristics.
URI: http://hdl.handle.net/10553/46822
ISBN: 0-8194-5832-5
ISSN: 0277-786X
DOI: 10.1117/12.608561
Fuente: Proceedings of SPIE - The International Society for Optical Engineering[ISSN 0277-786X],v. 5837 PART II (69), p. 628-637
Colección:Actas de congresos
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