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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
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2015/02/01
Online ISSN: 1745-1361
Type of Manuscript: Special Section PAPER (Special Section on Reconfigurable Systems)
reconfigurable architecture, video up-scaling, texture, parallelization, interpolation, sobel method, bilinear, bicubic,
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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.