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 allow 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 5×5 pixel array on data coming from an electronic imaging detector at a throughput rate of 10Mevents/s.
CITATION STYLE
Corba, M., & Ninkov, Z. (1995). Modular architecture for real-time astronomical image processing with FPGA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 975, pp. 362–369). Springer Verlag. https://doi.org/10.1007/3-540-60294-1_130
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