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20132017
most citedComputational ghost imaging using deep learning

164 citations · 311 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2017★ 164 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.GR2017★ 6 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.CV2017★ 41 cited

Deep-learning-based data page classification for holographic memory

Tomoyoshi Shimobaba, Naoki Kuwata, Mizuha Homma +9

We propose a deep-learning-based classification of data pages used in holographic memory. We numerically investigated the classification performance of a conventional multi-layer p…

cs.CV2016★ 24 cited

Autoencoder-based holographic image restoration

Tomoyoshi Shimobaba, Yutaka Endo, Ryuji Hirayama +8

We propose a holographic image restoration method using an autoencoder, which is an artificial neural network. Because holographic reconstructed images are often contaminated by di…

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★ 51 cited

Random phase-free kinoform for large objects

Tomoyoshi Shimobaba, Takashi Kakue, Yutaka Endo +7

We propose a random phase-free kinoform for large objects. When not using the random phase in kinoform calculation, the reconstructed images from the kinoform are heavy degraded, l…

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…

physics.optics2014★ 11 cited

Numerical investigation of lensless zoomable holographic multiple projections to tilted planes

Tomoyoshi Shimobaba, Michal Makowski, Takashi Kakue +7

This paper numerically investigates the feasibility of lensless zoomable holographic multiple projections to tilted planes. We have already developed lensless zoomable holographic…

physics.optics2013★ 14 cited

Calculation reduction method for color computer-generated hologram using color space conversion

Tomoyoshi Shimobaba, Takashi Kakue, Minoru Oikawa +5

We report a calculation reduction method for color computer-generated holograms (CGHs) using color space conversion. Color CGHs are generally calculated on RGB space. In this paper…