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Ikuo Hoshi

Showing results (1-10 of 9) with videos related to

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Scientific Reports|August 18, 2022
Real-time single-pixel imaging using a system on a chip field-programmable gate arrayIkuo Hoshi, Tomoyoshi Shimobaba, Takashi Kakue, et al.
Optics Express|November 13, 2020
Single-pixel imaging using a recurrent neural network combined with convolutional layersIkuo Hoshi, Tomoyoshi Shimobaba, Takashi Kakue, et al.
Scientific Reports|January 8, 2025
Wavefront-aberration-tolerant diffractive deep neural networks using volume holographic optical elementsIkuo Hoshi, Koki Wakunami, Yasuyuki Ichihashi, et al.
Applied Optics|October 18, 2022
Single-pixel imaging for edge images using deep neural networksIkuo Hoshi, Masaki Takehana, Tomoyoshi Shimobaba, et al.
Applied Optics|April 1, 2020
Phase retrieval using axial diffraction patterns and a ptychographic iterative engineYoshiya Wagatsuma, Tomoyoshi Shimobaba, Yota Yamamoto, et al.
Applied Optics|October 6, 2021
Mitigating ringing artifacts in diffraction calculations using average subtractionsTomoyoshi Shimobaba, Ikuo Hoshi, Harutaka Shiomi, et al.
Applied Optics|February 24, 2022
Real-valued diffraction calculations for computational holography [Invited]Tomoyoshi Shimobaba, Tatsuki Tahara, Ikuo Hoshi, et al.
Applied Optics|September 25, 2020
Dedicated processor for hologram calculation using sparse Fourier basesDaiki Yasuki, David Blinder, Tomoyoshi Shimobaba, et al.
Optics Letters|June 15, 2019
Dynamic-range compression scheme for digital hologram using a deep neural networkTomoyoshi Shimobaba, David Blinder, Michal Makowski, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Scientific Reports|August 18, 2022
Real-time single-pixel imaging using a system on a chip field-programmable gate arrayIkuo Hoshi, Tomoyoshi Shimobaba, Takashi Kakue, et al.
Optics Express|November 13, 2020
Single-pixel imaging using a recurrent neural network combined with convolutional layersIkuo Hoshi, Tomoyoshi Shimobaba, Takashi Kakue, et al.
Scientific Reports|January 8, 2025
Wavefront-aberration-tolerant diffractive deep neural networks using volume holographic optical elementsIkuo Hoshi, Koki Wakunami, Yasuyuki Ichihashi, et al.
Applied Optics|October 18, 2022
Single-pixel imaging for edge images using deep neural networksIkuo Hoshi, Masaki Takehana, Tomoyoshi Shimobaba, et al.
Applied Optics|April 1, 2020
Phase retrieval using axial diffraction patterns and a ptychographic iterative engineYoshiya Wagatsuma, Tomoyoshi Shimobaba, Yota Yamamoto, et al.
Applied Optics|October 6, 2021
Mitigating ringing artifacts in diffraction calculations using average subtractionsTomoyoshi Shimobaba, Ikuo Hoshi, Harutaka Shiomi, et al.
Applied Optics|February 24, 2022
Real-valued diffraction calculations for computational holography [Invited]Tomoyoshi Shimobaba, Tatsuki Tahara, Ikuo Hoshi, et al.
Applied Optics|September 25, 2020
Dedicated processor for hologram calculation using sparse Fourier basesDaiki Yasuki, David Blinder, Tomoyoshi Shimobaba, et al.
Optics Letters|June 15, 2019
Dynamic-range compression scheme for digital hologram using a deep neural networkTomoyoshi Shimobaba, David Blinder, Michal Makowski, et al.
Pageof 1