Noise2Ghost: self-supervised deep convolutional reconstruction for ghost imaging
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We present a self-supervised deep-learning-based ghost imaging (GI) reconstruction method, which provides a significant improvement in reconstruction quality for noisy acquisitions among unsupervised methods. We present the supporting mathematical framework an... ...
