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<p>To better align with the visual characteristics of the human eye and enhance the imaging quality of reconstructed images, this paper proposes a reconstruction method of Hadamard modulation ghost imaging based on autoencoder. By combining the orthogonal properties of the Hadamard matrix with the noise reduction capabilities of the autoencoder, high-quality reconstructed images of the target object can be obtained. Evaluation through peak signal-to-noise ratio, structural similarity index, and bit error rate reveals that, compared with other three different reconstruction schemes, the proposed method significantly improves the clarity of the reconstructed images while ensuring their quality.</p>

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Research on an autoencoder-based reconstruction method for Hadamard modulation ghost imaging

  • 期刊论文

  • 发表日期：

    2026年7月2日

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  • Daidou Guo,
  • Hualong Ye

摘要

To better align with the visual characteristics of the human eye and enhance the imaging quality of reconstructed images, this paper proposes a reconstruction method of Hadamard modulation ghost imaging based on autoencoder. By combining the orthogonal properties of the Hadamard matrix with the noise reduction capabilities of the autoencoder, high-quality reconstructed images of the target object can be obtained. Evaluation through peak signal-to-noise ratio, structural similarity index, and bit error rate reveals that, compared with other three different reconstruction schemes, the proposed method significantly improves the clarity of the reconstructed images while ensuring their quality.