基于FPGA的图像处理高级合成的优点和局限性

D. Bailey
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引用次数: 29

摘要

高级合成(HLS)工具可以为在fpga上实现图像处理算法提供显著的好处。更高级别(通常是基于C的)表示使算法更容易表达,从而显著减少了开发时间。更高的层次也使设计空间探索更容易,更容易优化资源和处理速度之间的权衡。然而,使用HLS的一个危险是简单地将现有的图像处理算法移植到FPGA平台上。通常,可以设计出更适合FPGA架构的更好的并行或流水线算法。从图像滤波到连接分量分析,再到基于二维频域滤波的高效内存管理,都将给出例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The advantages and limitations of high level synthesis for FPGA based image processing
High level synthesis (HLS) tools can provide significant benefits for implementing image processing algorithms on FPGAs. The higher level (usually C based) representation enables algorithms to be expressed more easily, significantly reducing development times. The higher level also makes design space exploration easier, making it easier to optimise the trade-off between resources and processing speed. However, one danger of using HLS is simply porting existing image processing algorithms onto an FPGA platform. Often, better parallel or pipelined algorithms may be may be designed which are better suited to the FPGA architecture. Examples will be given from image filtering, to connected components analysis, to efficient memory management for 2-D frequency domain based filtering.
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