Autoencoder-based holographic image restoration

12/12/2016
by   Tomoyoshi Shimobaba, et al.
0

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 QR codes by using the proposed method.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset