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Modular architecture for real-time astronomical image processing with FPGAs

机译:使用FPGA进行实时天文图像处理的模块化架构

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This paper describes the implementation of a two-dimensional, real-time centroiding algorithm using reconfigurable Field Programmable Gate Arrays (FPGA's). A centroiding computation is used to calculate the highest image light density location to sub-pixel resolution for bright point source events. The method is of interest mainly in astronomical applications. In order to achieve this computation in real-time, a solution which realizes high parallelism, pipelinability, and modularity is essential. Recent improvements in FPGA architecture allows for a new approach to realizing fast, wide and complex arithmetic functions thereby targeting these devices for real time imaging applications. A prototype has, therefore, been developed exploiting the high density, high speed and flexibility of FPGA's. The resulting prototype is able to perform centroiding on a 5x5 pixel array on data coming from an electronic imaging detector at a throughput rate of 10Mevents/s.
机译:本文介绍了使用可重新配置的现场可编程门阵列(FPGA's)的二维实时质心算法的实现。质心计算用于计算亮点源事件的最高图像光密度位置到子像素分辨率。该方法主要在天文应用中受到关注。为了实时实现该计算,实现高并行性,可管道性和模块化的解决方案必不可少。 FPGA体系结构的最新改进允许一种新方法来实现快速,宽泛和复杂的算术功能,从而将这些器件定位为实时成像应用。因此,已经开发出了原型,它利用了FPGA的高密度,高速和灵活性。最终的原型能够以10Mevents / s的吞吐速率对来自电子成像检测器的数据执行5x5像素阵列的质心分析。

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