|Title:||Real-time super-resolution over raw video sequences||Authors:||Barreto, D.
Callicó, G. M.
|UNESCO Clasification:||3307 Tecnología electrónica||Keywords:||Motion estimation
Lawrencium, et al
|Issue Date:||2005||Journal:||Proceedings of SPIE - The International Society for Optical Engineering||Conference:||VLSI Circuits and Systems II||Abstract:||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||Source:||Proceedings of SPIE - The International Society for Optical Engineering[ISSN 0277-786X],v. 5837 PART II (69), p. 628-637|
|Appears in Collections:||Actas de congresos|
checked on Dec 3, 2023
WEB OF SCIENCETM
checked on Jul 9, 2023
checked on Aug 12, 2023
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.