164 citations · 1.1k across the 30 of their papers we have counts for
7 papers · 1 filter
Neural radiance fields-based holography [Invited]
Minsung Kang, Fan Wang, Kai Kumano +2
This study presents a novel approach for generating holograms based on the neural radiance fields (NeRF) technique. Generating three-dimensional (3D) data is difficult in hologram…
Image quality enhancement of embedded holograms in holographic information hiding using deep neural networks
Tomoyoshi Shimobaba, Sota Oshima, Takashi Kakue +1
Holographic information hiding is a technique for embedding holograms or images into another hologram, used for copyright protection and steganography of holograms. Using deep neur…
Optimization of phase-only holograms calculated with scaled diffraction calculation through deep neural networks
Yoshiyuki Ishii, Tomoyoshi Shimobaba, David Blinder +4
Computer-generated holograms (CGHs) are used in holographic three-dimensional (3D) displays and holographic projections. The quality of the reconstructed images using phase-only CG…
Convolutional neural network-based regression for depth prediction in digital holography
Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito
Digital holography enables us to reconstruct objects in three-dimensional space from holograms captured by an imaging device. For the reconstruction, we need to know the depth posi…
Computational ghost imaging using deep learning
Tomoyoshi Shimobaba, Yutaka Endo, Takashi Nishitsuji +8
Computational ghost imaging (CGI) is a single-pixel imaging technique that exploits the correlation between known random patterns and the measured intensity of light transmitted (o…
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…
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…