Abstract:To address the problem of poor reconstructed image quality of traditional ghost imaging in handwritten digit recognition, this paper proposes a quality optimization method for ghost imaging based on the advantageous fast data generation in generative adversarial networks. The proposed method can improve the reconstruction quality of ghost images at a low sampling rate. Furthermore, the method concretely comprised the following steps: initially, a barrel detector collected the light intensity of the handwritten… Show more
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