The Implementation of Texture-Based Video Up-Scaling on Coarse-Grained Reconfigurable Architecture

Rui SHI  Shouyi YIN  Leibo LIU  Qiongbing LIU  Shuang LIANG  Shaojun WEI  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E98-D   No.2   pp.276-287
Publication Date: 2015/02/01
Publicized: 2014/11/19
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2014RCP0010
Type of Manuscript: Special Section PAPER (Special Section on Reconfigurable Systems)
Category: Application
Keyword: 
reconfigurable architecture,  video up-scaling,  texture,  parallelization,  interpolation,  sobel method,  bilinear,  bicubic,  

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Summary: 
Video Up-scaling is a hotspot in TV display area; as an important brunch of Video Up-scaling, Texture-Based Video Up-scaling (TBVU) method shows great potential of hardware implementation. Coarse-grained Reconfigurable Architecture (CGRA) is a very promising processor; it is a parallel computing platform which provides high performance of hardware, high flexibility of software, and dynamical reconfiguration ability. In this paper we propose an implementation of TBVU on CGRA. We fully exploit the characters of TBVU and utilize several techniques to reduce memory I/O operation and total execution time. Experimental results show that our work can greatly reduce the I/O operation and the execution time compared with the non-optimized ones. We also compare our work with other platforms and find great advantage in execution time and resource utilization rate.