activity
20102024
most citedComputational ghost imaging using deep learning

164 citations · 1k across the 31 of their papers we have counts for

collaborators

31 papers

cs.CV2024★ 6 cited

Quantized neural network for complex hologram generation

Yutaka Endo, Minoru Oikawa, Timothy D. Wilkinson +2

Computer-generated holography (CGH) is a promising technology for augmented reality displays, such as head-mounted or head-up displays. However, its high computational demand makes…

cs.CV2024

Neural radiance fields-based holography [Invited]

Minsung Kang, Fan Wang, Kai Kumano +2

This study presents a novel approach for generating holograms based on the neural radiance fields (NeRF) technique. Generating three-dimensional (3D) data is difficult in hologram…

eess.IV2022★ 5 cited

Controllable energy angular spectrum method

Fan Wang, Tomoyoshi Shimobaba, Takashi Kakue +1

A controllable energy method, which considers the undersampling issue of the transfer function and valid spectral energy of a source signal, is proposed to implement angular spectr…

cs.CV2021★ 2 cited

Image quality enhancement of embedded holograms in holographic information hiding using deep neural networks

Tomoyoshi Shimobaba, Sota Oshima, Takashi Kakue +1

Holographic information hiding is a technique for embedding holograms or images into another hologram, used for copyright protection and steganography of holograms. Using deep neur…

physics.optics2021★ 20 cited

Hyperparameter tuning of optical neural network classifiers for high-order gaussian beams

Shunsuke Watanabe, Tomoyoshi Shimobaba, Takashi Kakue +1

High-order Gaussian beams with multiple propagation modes have been studied for free-space optical communications. Fast classification of beams using a diffractive deep neural netw…

cs.CV2021★ 20 cited

Optimization of phase-only holograms calculated with scaled diffraction calculation through deep neural networks

Yoshiyuki Ishii, Tomoyoshi Shimobaba, David Blinder +4

Computer-generated holograms (CGHs) are used in holographic three-dimensional (3D) displays and holographic projections. The quality of the reconstructed images using phase-only CG…

eess.IV2019★ 21 cited

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★ 56 cited

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…

eess.IV2018

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…

cs.CV2018★ 9 cited

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…

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.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…

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.optics2015★ 125 cited

Random phase-free computer-generated hologram

Tomoyoshi Shimobaba, Tomoyoshi Ito

Addition of random phase to the object light is required in computer-generated holograms (CGHs) to widely diffuse the object light and to avoid its concentration on the CGH; howeve…

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.optics2014★ 8 cited

Ptychography by changing the area of probe light and scaled ptychography

Tomoyoshi Shimobaba, Takashi Kakue, Naohisa Okada +4

Ptychography is a promising phase retrieval technique for visible light, X-ray and electron beams. Conventional ptychography reconstructs the amplitude and phase of an object light…

physics.comp-ph2013★ 39 cited

Fast computation of computer-generated hologram using Xeon Phi coprocessor

Koki Murano, Tomoyoshi Shimobaba, Atsushi Sugiyama +4

We report fast computation of computer-generated holograms (CGHs) using Xeon Phi coprocessors, which have massively x86-based processors on one chip, recently released by Intel. CG…

physics.optics2013★ 35 cited

Non-uniform sampled scalar diffraction calculation using non-uniform fast Fourier transform

Tomoyoshi Shimobaba, Takashi Kakue, Minoru Oikawa +4

Scalar diffraction calculations such as the angular spectrum method (ASM) and Fresnel diffraction, are widely used in the research fields of optics, X-rays, electron beams, and ult…

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…