利用高阶合成的高效率边缘导向视频上规模器的VLSI实现

Meng Li, P. Zhang, Chuang Zhu, Huizhu Jia, Xiaodong Xie, J. Cong, Wen Gao
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引用次数: 4

摘要

图像缩放是广泛应用于数字图像的一种基本算法。在本文中,我们提出了一种高效的VLSI架构,用于一种新的边缘导向线性插值算法。我们的VLSI设计是使用高级合成(HLS)工具实现的,该工具从C/ c++函数生成RTL模块。与传统的基于rtl的设计流程相比,HLS显著提高了设计效率。因此,我们探索了一个大的设计空间,包括管道架构设计中的几个细粒度和粗粒度优化。我们的架构在基于Xilinx Kintex-7 FPGA的工作系统中得到了验证。实验表明,我们的设计能够以30fps的速度处理UHD(3840*2160)视频,并且资源利用率适中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High efficiency VLSI implementation of an edge-directed video up-scaler using high level synthesis
Image scaling is a fundamental algorithm used in a large range of digital image applications. In this paper, we propose an efficient VLSI architecture for a novel edge-directed linear interpolation algorithm. Our VLSI design is implemented using high level synthesis (HLS) tool, which generates RTL modules from C/C++ functions. HLS provides significantly improved design productivity compared to the traditional RTL-based design flow. So we explored a large design space including several fine-grained and coarse-grained optimizations in the pipeline architecture design. Our architecture is verified in a working system based on Xilinx Kintex-7 FPGA. Experiments show that our design can process UHD (3840*2160) videos at 30fps with moderate resource utilization.
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