Abstract

Noise is a significant factor affecting imaging quality because it seriously reduces the detection signal-to-noise ratio (SNR), especially in feeble-light detection. In this paper, we propose a practical method to separate signal from noise background in ghost imaging (GI) systems based on correlation calculation. Experiments have shown that this method can significantly increase the SNR of the reconstructed images. Our research provides a novel method for suppressing noise influence on feeble-light GI, which has valuable reference value in biomedicine and remote sensing.

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