no code implementations • 2 Mar 2024 • Minsung Kang, Fan Wang, Kai Kumano, Tomoyoshi Ito, Tomoyoshi Shimobaba
NeRF is a state-of-the-art technique for 3D light-field reconstruction from 2D images based on volume rendering.
no code implementations • 18 Mar 2022 • Fan Wang, Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito
A controllable energy method, which considers the undersampling issue of the transfer function and valid spectral energy of a source signal, is proposed to implement angular spectrum diffraction calculation in near and far fields.
no code implementations • 2 Dec 2021 • Yoshiyuki Ishii, Tomoyoshi Shimobaba, David Blinder, Tobias Birnbaum, Peter Schelkens, Takashi Kakue, Tomoyoshi Ito
However, it is limited to reconstructing images that are the same size as the hologram.
no code implementations • 10 Oct 2018 • Ikuo Hoshi, Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito
Computational ghost imaging is a promising technique for single-pixel imaging because it is robust to disturbance and can be operated over broad wavelength bands, unlike common cameras.
no code implementations • 2 Feb 2018 • Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito
Digital holography enables us to reconstruct objects in three-dimensional space from holograms captured by an imaging device.
no code implementations • 19 Oct 2017 • Tomoyoshi Shimobaba, Yutaka Endo, Takashi Nishitsuji, Takayuki Takahashi, Yuki Nagahama, Satoki Hasegawa, Marie Sano, Ryuji Hirayama, Takashi Kakue, Atsushi Shiraki, Tomoyoshi Ito
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 (or reflected) by an object.
no code implementations • 2 Jul 2017 • Tomoyoshi Shimobaba, Naoki Kuwata, Mizuha Homma, Takayuki Takahashi, Yuki Nagahama, Marie Sano, Satoki Hasegawa, Ryuji Hirayama, Takashi Kakue, Atsushi Shiraki, Naoki Takada, Tomoyoshi Ito
We propose a deep-learning-based classification of data pages used in holographic memory.
no code implementations • 12 Dec 2016 • Tomoyoshi Shimobaba, Yutaka Endo, Ryuji Hirayama, Yuki Nagahama, Takayuki Takahashi, Takashi Nishitsuji, Takashi Kakue, Atsushi Shiraki, Naoki Takada, Nobuyuki Masuda, Tomoyoshi Ito
We propose a holographic image restoration method using an autoencoder, which is an artificial neural network.