activity
20122019
most citedComputational ghost imaging using deep learning

164 citations · 167 across the 3 of their papers we have counts for

collaborators

5 papers

eess.IV2019

Simple complex amplitude encoding of a phase-only hologram using binarized amplitude

Tomoyoshi Shimobaba, Takayuki Takahashi, Yota Yamamoto +4

For this work, we introduced the use of binary amplitude for our proposed complex amplitude encoding of a phase-only hologram. By principle, a complex amplitude in a hologram plane…

eess.IV2018

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…

cs.CV2017164 cited

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…

cs.MM2017

Inkjet printing-based volumetric display projecting multiple full-colour 2D patterns

Ryuji Hirayama, Tomotaka Suzuki, Tomoyoshi Shimobaba +5

In this study, a method to construct a full-colour volumetric display is presented using a commercially available inkjet printer. Photoreactive luminescence materials are minutely…

physics.optics20123 cited

Handheld and low-cost digital holographic microscopy

Atsushi Shiraki, Yusuke Taniguchi, Tomoyoshi Shimobaba +2

This study developed handheld and low-cost digital holographic microscopy (DHM) by adopting an in-line type hologram, a webcam, a high power RGB light emitting diode (LED), and a p…