| Deep-learning computational holography: A review T Shimobaba, D Blinder, T Birnbaum, I Hoshi, H Shiomi, P Schelkens, ... Frontiers in Photonics 3, 8, 2022 | 42 | 2022 |
| Fully analytic shading model with specular reflections for polygon-based hologram F Wang, H Shiomi, T Ito, T Kakue, T Shimobaba Optics and Lasers in Engineering 160, 107235, 2023 | 14 | 2023 |
| Real-valued diffraction calculations for computational holography T Shimobaba, T Tahara, I Hoshi, H Shiomi, F Wang, T Hara, T Kakue, T Ito Applied Optics 61 (5), B96-B102, 2022 | 9 | 2022 |
| Fast hologram calculation method using wavelet transform: WASABI-2 H Shiomi, T Shimobaba, T Kakue, T Ito Optics Communications 525, 128836, 2022 | 5 | 2022 |
| Mitigating ringing artifacts in diffraction calculations using average subtractions T Shimobaba, I Hoshi, H Shiomi, F Wang, T Hara, T Kakue, T Ito Applied Optics 60 (22), 6393-6399, 2021 | 5 | 2021 |
| Motion parallax holograms generated from an existing hologram T Shimobaba, S Katsuyama, T Nishitsuji, I Hoshi, H Shiomi, F Wang, ... Applied Sciences 11 (7), 2933, 2021 | 5 | 2021 |
| Hologram generation via Hilbert transform T Shimobaba, T Kakue, Y Yamamoto, I Hoshi, H Shiomi, T Nishitsuji, ... OSA Continuum 3 (6), 1498-1503, 2020 | 5 | 2020 |
| Accelerating hologram generation using oriented-separable convolution and wavefront recording planes T Shimobaba, M Makowski, H Shiomi, F Wang, T Hara, M Sypek, ... Optics Express 30 (20), 36564-36575, 2022 | 4 | 2022 |
| Lossless compression using the ramanujan sums: Application to hologram compression H Shiomi, T Shimobaba, T Kakue, T Ito IEEE Access 8, 144453-144457, 2020 | 4 | 2020 |
| Multi-depth hologram generation from two-dimensional images by deep learning Y Ishii, F Wang, H Shiomi, T Kakue, T Ito, T Shimobaba Optics and Lasers in Engineering 170, 107758, 2023 | 3 | 2023 |
| Diffraction calculation using low-quantization signals T Shimobaba, T Tahara, F Wang, H Shiomi, D Blinder, T Hara, T Nishitsuji, ... Digital Holography and Three-Dimensional Imaging, HW5C. 1, 2023 | 1 | 2023 |
| Reducing the computational complexity of high-resolution hologram calculations using polynomial approximation H Shiomi, T Shimobaba, T Kakue, T Ito Optics Express 31 (11), 18576-18586, 2023 | 1 | 2023 |
| Deep hologram converter from low-precision to middle-precision holograms H Shiomi, D Blinder, T Birnbaum, Y Inoue, F Wang, T Ito, T Kakue, ... Applied Optics 62 (7), 1723-1729, 2023 | 1 | 2023 |
| Vector sensor imaging K Kawamoto, H Shiomi, T Ito, T Kakue, T Shimobaba Optics and Lasers in Engineering 162, 107439, 2023 | 1 | 2023 |
| Numerical investigation of fast layer hologram calculation with compressing layer images and point-spread functions H Shiomi, T Shimobaba, T Kakue, T Ito Digital Holography and Three-Dimensional Imaging, W2A. 15, 2022 | 1 | 2022 |
| Lighter and memory-saving diffraction calculations T Shimobaba, T Tahara, F Wang, H Shiomi, D Blinder, T Hara, T Nishitsuji, ... Frontiers in Optics, FW5D. 1, 2023 | | 2023 |
| Numerical investigation of inline digital holography using axicon phase and gradient descent T Shimobaba, V Tiwari, A Gupta, F Wang, H Shiomi, CJ Cheng, T Ito Frontiers in Optics, JW4A. 6, 2023 | | 2023 |
| Wavelet shrinkage-based superposition WASABI-3 for hologram calculations from multi-layer images H Shiomi, T Ito, T Shimobaba Frontiers in Optics, JW4A. 84, 2023 | | 2023 |
| Polygon-based holograms production pipeline: from 3D modeling to optical reconstruction F Wang, D Blinder, H Shiomi, T Ito, T Shimobaba Digital Holography and Three-Dimensional Imaging, HM3C. 3, 2023 | | 2023 |
| Hologram Calculation Using Layer Methods H Shiomi Hardware Acceleration of Computational Holography, 193-206, 2023 | | 2023 |
Tomoyoshi ShimobabaChiba University, JapanVerified email at faculty.chiba-u.jp
