Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/53736
Title: Mapping of real-time and low-cost super-resolution algorithms onto a hybrid video encoder
Authors: Callico, Gustavo Marrero 
Llopis, Rafael Peset
Núñez, Antonio 
Sethuraman, Ramanathan
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Motion estimation
Super resolution
Image processing
Image quality
Video, et al
Issue Date: 2003
Publisher: 0277-786X
Journal: Proceedings of SPIE - The International Society for Optical Engineering 
Conference: Conference on VLSI Circuits and Systems 
Abstract: This paper focuses on the mapping of low-cost and real-time super-resolution (SR) algorithms onto SOC (System-On-Chip) platforms in order to achieve high-quality image improvements. Low-cost constraints are accomplished by avoiding the need for specific SR hardware, by re-using a video encoder architecture. Only small modifications are needed for: the motion estimator, the motion compensator, image loop memory, etc. This encoder can be used either in compression mode or in SR mode. This video encoder together with the new SR features constitutes an IP block inside Philips Research, upon which several SOC platforms are being developed. Although this SR algorithm has been implemented on an encoder architecture developed by Philips Research it can be easily mapped upon other hybrid video encoder platforms. The results show important improvements in the image quality. Based on these results, some generalizations can be made about the impact of the sampling process on the quality of the super-resolution image.
URI: http://hdl.handle.net/10553/46823
ISBN: 0-8194-4977-6
ISSN: 0277-786X
DOI: 10.1117/12.498868
Source: Proceedings of SPIE - The International Society for Optical Engineering[ISSN 0277-786X],v. 5117, p. 42-52
Appears in Collections:Actas de congresos
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