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Zhen Chen

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Proceedings Article | 18 November 2019 Paper

Lucky imaging system on FPGA by using ethernet transmission

Chenhao Duan, Binhua Li, Zhen Chen, Chun He, Jinliang Wang

Proceedings Volume 11189, 111891Y (2019) https://doi.org/10.1117/12.2538855

KEYWORDS: Imaging systems, Field programmable gate arrays, Prototyping, Astronomy, Computing systems, Image processing, Imaging technologies, Atmospheric turbulence, Parallel processing, Data transmission

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Lucky imaging technology is a post-processing technique for eliminating the influence of atmospheric turbulence in astronomical images to obtain high-resolution images. Reconstruction usually realized by using a desktop computer system. However, this post-processing method based on CPU can’t meet the real-time requirements of some astronomical observers. Based on a prototype of a FPGA-based lucky imaging system developed with our laboratory, a technical solution of lucky imaging technology based on Gigabit Ethernet is presented in this paper. The original short exposure images can input into the FPGA-based lucky imaging system via a Gigabit Ethernet interface. Some functional modules related to data transmission through Gigabit Ethernet are designed, and the lucky imaging processing and VGA display modules in the prototype system are transplanted. After all these works, a new lucky imaging processing system which is based on Gigabit Ethernet, has been built. This paper will firstly introduce the design methods and the implementation techniques of the Ethernet receiving module, FIFO module, DDR3 module, and the transplantation methods for the s election module, registration module, superposition module, and display module. The observed short exposure images are sent to the FPGA system by an image workstation via Gigabit Ethernet. The software in the workstation is developed in C#. The programming method is also introduced in this paper. Experiments show that compared with the old prototype system, the total time for processing 1,000 short exposure images is reduced from 42 seconds to about 10 seconds, and the real-time performance of the new system is improved.

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