Computational ghost imaging using a field-programmable gate array
classification
📡 eess.IV
cs.ARcs.CVeess.SP
keywords
circuitimagingcalculationcomputationalghostarraydedicatedfield-programmable
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Computational ghost imaging is a promising technique for single-pixel imaging because it is robust to disturbance and can be operated over broad wavelength bands, unlike common cameras. However, one disadvantage of this method is that it has a long calculation time for image reconstruction. In this paper, we have designed a dedicated calculation circuit that accelerated the process of computational ghost imaging. We implemented this circuit by using a field-programmable gate array, which reduced the calculation time for the circuit compared to a CPU. The dedicated circuit reconstructs images at a frame rate of 300 Hz.
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