Autoencoder-based holographic image restoration
Autoencoder-based holographic image restoration
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DOI：
10.1364/ao.56.000f27
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发表时间：
2016-12
期刊：
影响因子：
1.9
通讯作者：
T. Shimobaba;Yutaka Endo;R. Hirayama;Yuki Nagahama;Takayuki Takahashi;Takashi Nishitsuji;T. Kakue;A. Shiraki;N. Takada;N. Masuda;T. Ito
中科院分区：
文献类型：
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作者：
T. Shimobaba;Yutaka Endo;R. Hirayama;Yuki Nagahama;Takayuki Takahashi;Takashi Nishitsuji;T. Kakue;A. Shiraki;N. Takada;N. Masuda;T. Ito
我们提出了一种使用自动编码器的全息图像复原方法，该编码器是一种人工神经网络。由于全息再现像经常受到直射光、共轭光和散斑噪声的污染，再现像的鉴别可能是困难的。在本文中，我们演示了从全息图的再现图像的恢复，记录在全息存储器和快速响应代码的页面数据，通过使用所提出的方法。
We propose a holographic image restoration method using an autoencoder, which is an artificial neural network. Because holographic reconstructed images are often contaminated by direct light, conjugate light, and speckle noise, the discrimination of reconstructed images may be difficult. In this paper, we demonstrate the restoration of reconstructed images from holograms that record page data in holographic memory and quick response codes by using the proposed method.