Simulation‐Training‐Based Deep Learning Approach to Microscopic Ghost Imaging
Binyu Li,
Yueshu Feng,
Cheng Zhou
et al.
Abstract:Herein, deep learning‐ghost imaging (DLGI) based on a digital micromirror device is realized to avoid the difficulties of a charge‐coupled device (CCD) scientific camera being unable to obtain the sample images in extremely weak illumination conditions and to solve the problem of the inverse relationship between imaging quality and imaging time in practical applications. Deep learning for computational ghost imaging typically requires the collection of a large set of labeled experimental data to train a neural… Show more
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