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Image processing algorithm acceleration using reconfigurable macro processor model

机译:使用可重构宏处理器模型的图像处理算法加速

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摘要

The concept and advantage of reconfigurable technology is introduced. A kind of processor architecture of reconfigurable macro processor (RMP) model based on FPGA array and DSP is put forward and has been implemented. Two image algorithms are developed: template-based automatic target recognition and zone labeling. One is estimating for motion direction in the infrared image background, another is line picking-up algorithm based on image zone labeling and phase grouping technique. It is a kind of “hardware” function that can be called by the DSP in high-level algorithm. It is also a kind of hardware algorithm of the DSP. The results of experiments show the reconfigurable computing technology based on RMP is an ideal accelerating means to deal with the high-speed image processing tasks. High real time performance is obtained in our two applications on RMP.
机译:介绍了可重构技术的概念和优势。提出并实现了一种基于FPGA阵列和DSP的可重构宏处理器(RMP)模型的处理器架构。开发了两种图像算法:基于模板的自动目标识别和区域标记。一种是估计红外图像背景中的运动方向,另一种是基于图像区域标记和相位分组技术的线拾取算法。它是DSP可以在高级算法中调用的一种“硬件”功能。它也是DSP的一种硬件算法。实验结果表明,基于RMP的可重构计算技术是处理高速图像处理任务的理想加速手段。在RMP的两个应用程序中获得了很高的实时性能。

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