164 citations · 1k across the 31 of their papers we have counts for
3 papers · 1 filter
Digital holographic particle volume reconstruction using a deep neural network
Tomoyoshi Shimobaba, Takayuki Takahashi, Yota Yamamoto +6
This paper proposes a particle volume reconstruction directly from an in-line hologram using a deep neural network. Digital holographic volume reconstruction conventionally uses mu…
Computational ghost imaging using a field-programmable gate array
Ikuo Hoshi, Tomoyoshi Shimobaba, Takashi Kakue +1
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 cam…
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…