164 citations · 164 across the 3 of their papers we have counts for
4 papers
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 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…
Improvement of the image quality of random phase--free holography using an iterative method
Tomoyoshi Shimobaba, Takashi Kakue, Yutaka Endo +8
Our proposed method of random phase-free holography using virtual convergence light can obtain large reconstructed images exceeding the size of the hologram, without the assistance…
Optical encryption for large-sized images using random phase-free method
Tomoyoshi Shimobaba, Takashi Kakue, Yutaka Endo +7
We propose an optical encryption framework that can encrypt and decrypt large-sized images beyond the size of the encrypted image using our two methods: random phase-free method an…