Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Nagahama, Yuki"'
Autor:
Nagahama, Yuki
Digital holography has applications in bio-imaging because it can simultaneously obtain the amplitude and phase information of a microscopic sample in a single shot, thus facilitating non-contact, noninvasive observation of the 3D shape of transparen
Externí odkaz:
http://arxiv.org/abs/2406.04014
Akademický článek
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Autor:
Shimobaba, Tomoyoshi, Endo, Yutaka, Nishitsuji, Takashi, Takahashi, Takayuki, Nagahama, Yuki, Hasegawa, Satoki, Sano, Marie, Hirayama, Ryuji, Kakue, Takashi, Shiraki, Atsushi, Ito, Tomoyoshi
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. Although CGI can obtain two- or three- dime
Externí odkaz:
http://arxiv.org/abs/1710.08343
Autor:
Shimobaba, Tomoyoshi, Matsushima, Kyoji, Takahashi, Takayuki, Nagahama, Yuki, Hasegawa, Satoki, Sano, Marie, Hirayama, Ryuji, Kakue, Takashi, Ito, Tomoyoshi
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 WASABI method is printed on a glass substrate with the resolution of
Externí odkaz:
http://arxiv.org/abs/1708.04233
Autor:
Shimobaba, Tomoyoshi, Kuwata, Naoki, Homma, Mizuha, Takahashi, Takayuki, Nagahama, Yuki, Sano, Marie, Hasegawa, Satoki, Hirayama, Ryuji, Kakue, Takashi, Shiraki, Atsushi, Takada, Naoki, Ito, Tomoyoshi
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 perceptron (MLP) and a deep neural network, under the condition that re
Externí odkaz:
http://arxiv.org/abs/1707.00684
Autor:
Shimobaba, Tomoyoshi, Endo, Yutaka, Hirayama, Ryuji, Nagahama, Yuki, Takahashi, Takayuki, Nishitsuji, Takashi, Kakue, Takashi, Shiraki, Atsushi, Takada, Naoki, Masuda, Nobuyuki, Ito, Tomoyoshi
We propose a holographic image restoration method using an autoencoder, which is an artificial neural network. Because holographic reconstructed images are often contaminated by direct light, conjugate light, and speckle noise, the discrimination of
Externí odkaz:
http://arxiv.org/abs/1612.03959
Autor:
Shimobaba, Tomoyoshi, Kakue, Takashi, Endo, Yutaka, Hirayama, Ryuji, Hiyama, Daisuke, Hasegawa, Satoki, Nagahama, Yuki, Sano, Marie, Oikawa, Minoru, Sugie, Takashige, Ito, Tomoyoshi
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 of random phase. The reconstructed images have low-speckle noise in t
Externí odkaz:
http://arxiv.org/abs/1504.01424
Autor:
Shimobaba, Tomoyoshi, Kakue, Takashi, Endo, Yutaka, Hirayama, Ryuji, Hiyama, Daisuke, Hasegawa, Satoki, Nagahama, Yuki, Sano, Marie, Sugie, Takashige, Ito, Tomoyoshi
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, like edge-only preserved images. In addition, the kinoform cannot recor
Externí odkaz:
http://arxiv.org/abs/1503.00365
Autor:
Shimobaba, Tomoyoshi, Kakue, Takashi, Endo, Yutaka, Hirayama, Ryuji, Hiyama, Daisuke, Hasegawa, Satoki, Nagahama, Yuki, Sano, Marie, Sugie, Takashige, Ito, Tomoyoshi
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 and scaled diffraction. In order to record the entire image information
Externí odkaz:
http://arxiv.org/abs/1503.00360
Akademický článek
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