Hardware-in-the-loop Simulation based Evolutionary Design of Image Filter
AbstractAn evolutionary design method of image filter based on hardware-in-the-loop (HIL) simulation is proposed. An image filter evolvable system based on System Generator was designed. Experimental results and analyses demonstrate that the optimal evolved filter outperforms traditional filters both on performance and implementation costs. In comparison with the existing evolutionary design methods of image filter, the proposed strategy brings higher computational ability and more flexibility. Evolutionary algorithm of the evolvable system can be synthesized into hardware which provided a basis for the follow-up research to achieve online adaptive filtering.
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