2 papers
cs.CV2017
Deep-learning-based data page classification for holographic memory
Tomoyoshi Shimobaba, Naoki Kuwata, Mizuha Homma +9
We propose a deep-learning-based classification of data pages used in holographic memory. We numerically investigated the classification performance of a conventional multi-layer p…
cs.CV2016
Autoencoder-based holographic image restoration
Tomoyoshi Shimobaba, Yutaka Endo, Ryuji Hirayama +8
We propose a holographic image restoration method using an autoencoder, which is an artificial neural network. Because holographic reconstructed images are often contaminated by di…