most citedComputational ghost imaging using deep learning

164 citations · 170 across the 5 of their papers we have counts for

collaborators

5 papers

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.GR20176 cited

Fast, large-scale hologram calculation in wavelet domain

Tomoyoshi Shimobaba, Kyoji Matsushima, Takayuki Takahashi +6

We propose a large-scale hologram calculation using WAvelet ShrinkAge-Based superpositIon (WASABI), a wavelet transform-based algorithm. An image-type hologram calculated using the…

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.optics2015

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…

physics.optics2015

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…