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Sobel edge detection system design and integration on an FPGA based HD video streaming architecture

机译:基于FPGA的高清视频流架构的Sobel边缘检测系统设计和集成

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Complex image processing algorithms (e.g. Sobel edge detection) combined with higher resolution video streaming, are so computationally and put bigger demands on processing power. Unlike the software solutions, parallel solutions satisfy well these algorithms' performance, but using a programmable logic such as FPGA's can provide us more. Driven by the rapid technological advances, today it's possible to combine a high-speed CPU and an FPGA technology on a single system on Chip (SoC), such as the Xilinx Zynq 7000 series. In this paper, we present a HD video streaming architecture and a Sobel edge detection IP core design and implementation using a high-level synthesis workflow. A HD video with a 1080p resolution streamed from a laptop HDMI interface. The processed videos were displayed by the use of a monitor. For implementation, we used a Digilent ZYBO Zynq ZC7010 based platform and our experimental results will be compared with an NVIDIA M840 GPU.
机译:复杂的图像处理算法(例如Sobel边缘检测)与更高分辨率的视频流结合在一起,在计算上是如此,并且对处理能力提出了更高的要求。与软件解决方案不同,并行解决方案可以很好地满足这些算法的性能,但是使用可编程逻辑(如FPGA)可以为我们提供更多服务。在快速的技术进步的推动下,如今,可以在单个Xilinx Zynq 7000系列等片上系统(SoC)上结合使用高速CPU和FPGA技术。在本文中,我们介绍了一种高清视频流架构以及使用高级综合工作流程的Sobel边缘检测IP内核设计和实现。从笔记本电脑的HDMI接口传输的1080p分辨率高清视频。通过使用监视器显示已处理的视频。在实现方面,我们使用了基于Digilent ZYBO Zynq ZC7010的平台,我们的实验结果将与NVIDIA M840 GPU进行比较。

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