164 citations · 354 across the 13 of their papers we have counts for
13 papers
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Gigapixel inline digital holographic microscopy using a consumer scanner
Tomoyoshi Shimobaba, Hiroya Yamanashi, Takashi Kakue +6
We demonstrate a gigapixel inline digital holographic microscopy using a consumer scanner. The consumer scanner can maximally scan an A4 size image (297mm x 210mm) with 4800 dpi (=…