Photon-level single-pixel imaging of dynamic features in frequency domain

Photon-level single-pixel imaging overcomes the reliance of traditional imaging techniques on large-scale array detectors, offering the advantages such as high sensitivity, high resolution, and efficient photon utilization. In this paper, we propose a photon-level dynamic feature single-pixel imaging method, leveraging the frequency domain sparsity of the object’s dynamic features to construct a compressed measurement system through discrete random photon detection. In the experiments, we successfully captured 167 and 200 Hz featured frequencies and achieved high-quality image reconstruction with a data compression ratio of 20%. Our approach introduces a new detection dimension, significantly expanding the applications of photon-level single-pixel imaging in practical scenarios.