Computational ghost imaging using a field-programmable gate array

TL;DR

This paper presents a FPGA-based dedicated circuit that significantly accelerates computational ghost imaging, achieving a 300 Hz frame rate and overcoming the long reconstruction times typical of CPU implementations.

Contribution

The authors designed and implemented a FPGA-based circuit that drastically reduces image reconstruction time in computational ghost imaging.

Findings

Reconstruction speed increased to 300 Hz.

FPGA implementation outperforms CPU-based processing.

Enhanced real-time imaging capability.

Abstract

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.