Autoencoder-based holographic image restoration

By T. Shimobaba, Yutaka Endo, R. Hirayama, Yuki Nagahama, Takayuki Takahashi, Takashi Nishitsuji, T. Kakue, A. Shiraki, N. Takada, N. Masuda and 1 more. 2016

21 citations recorded by the source corpus.

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.

Subfields: Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Media Technology