Search Results for author: Takashi Kakue

Found 9 papers, 0 papers with code

Controllable energy angular spectrum method

no code implementations18 Mar 2022 Fan Wang, Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito

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 spectrum diffraction calculation in near and far fields.

valid

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

no code implementations20 Dec 2021 Tomoyoshi Shimobaba, Sota Oshima, Takashi Kakue, and Tomoyoshi Ito

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

Computational ghost imaging using a field-programmable gate array

no code implementations10 Oct 2018 Ikuo Hoshi, Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito

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 cameras.

Image Reconstruction

Convolutional neural network-based regression for depth prediction in digital holography

no code implementations2 Feb 2018 Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito

Digital holography enables us to reconstruct objects in three-dimensional space from holograms captured by an imaging device.

Depth Estimation Depth Prediction +3

Computational ghost imaging using deep learning

no code implementations19 Oct 2017 Tomoyoshi Shimobaba, Yutaka Endo, Takashi Nishitsuji, Takayuki Takahashi, Yuki Nagahama, Satoki Hasegawa, Marie Sano, Ryuji Hirayama, Takashi Kakue, Atsushi Shiraki, Tomoyoshi Ito

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 (or reflected) by an object.

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