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Our objective is to provide an enhanced algorithm for the FASTCAM instrument, developed by the Instituto de Astrofi??sica de Canarias in collaboration with the Universidad Polite??cnica de Cartagena. In this paper we propose a versatile algorithm, based on the CNN paradigm, which can be adapted to the detection of several astronomical objects. We also propose an implementation architecture that makes...
FastCam project combines the features of the lucky imaging technique for astronomical imaging through the Earth's atmosphere, with the real-time processing capabilities of re- configurable logic. An acquisition, processing and communication system based exclusively on reconfigurable hardware has been developed and tested at laboratory and telescopes. The proposed approach uses FPGAs and their natural...
This paper describes a novel architecture for the hardware implementation of non-linear multi-layer cellular neural networks. This makes it feasible to design CNNs with millions of neurons accommodated in low price FPGA devices, being able to process standard video in real time.
When image and video processing applications are moving towards consumer markets, there exists clearly the need of replacing PC-based software solutions with embedded processor. In this context, the enhanced characteristics of the modern FPGA devices make possible to build whole systems with improved performance and reduced costs. In this paper we describe a platform for developing fully FPGA-based...
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