Ren Noguchi, Kohei Suzuki, Yoshiki Moriguchi, Minoru Oikawa, Yuichiro Mori, Takashi Kakue, Tomoyoshi Shimobaba, Tomoyoshi Ito, Naoki Takada. Real-time gradation-expressible amplitude-modulation-type electroholography based on binary-weighted computer-generated hologram[J]. Chinese Optics Letters, 2021, 19(11): 110501
- Chinese Optics Letters
- Vol. 19, Issue 11, 110501 (2021)
Fig. 1. Binary PWM sequence patterns corresponding to gray levels 76, 127, and 255.
Fig. 2. Light intensities of object points reconstructed from BW-CGHs and conventional binary CGH.
Fig. 3. Assignment of the object points of the 3D object to the bit planes.
Fig. 4. Simple method for calculating the respective bit planes B0, B1, and B2.
Fig. 5. Proposed method for calculating bit planes B0, B1, and B2 by grouping the gradation values of the object points.
Fig. 6. Bit-plane flags in the respective groups.
Fig. 7. Multi-GPU cluster electroholography system with a single SLM.
Fig. 8. Pipeline processing for real-time gradation-expressible electroholography based on BW-CGH.
Fig. 9. Eight-gradation holographic 3D video reproduction using bit plans B0, B1, and B2 on a DMD.
Fig. 10. Eight-gradation holographic 3D video reproduction using the bit planes B0, B1, and B2 on a DMD.
Fig. 11. Optical setup used in the evaluation experiment.
Fig. 12. Gradation values of 3D model “Jack-o’-lantern” and “Stanford bunny.”
Fig. 13. Snapshot of a reconstructed 3D video “Jack-o’-lantern” (Data File 1 ).
Fig. 14. Snapshot of a reconstructed 3D video “Stanford bunny” (Data File 2 ).
Fig. 15. Measured light intensities obtained from the snapshots of the reconstructed 3D videos (Data File 1 and Data File 2 ).
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Table 1. Specifications of the Personal Computers Comprising the Multi-GPU Cluster System
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Table 2. Number of the Object Points of 3D Models for the Duplicate Calculation and the Proposed Methods
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Table 3. Comparison of the Display Time Interval using a PC with a Single GPU
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Table 4. Comparison of the Display Time Interval using the Multi-GPU Cluster System
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