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Journals >Opto-Electronic Advances >Volume 7 >Issue 1 >Page 230176 > Article

Opto-Electronic Advances
Vol. 7, Issue 1, 230176 (2024)

Advancing computer-generated holographic display thanks to diffraction model-driven deep nets

Vittorio Bianco and Pietro Ferraro^*

Author Affiliations

CNR-ISASI Institute of Applied Sciences & Intelligent Systems Viale Campi Flegrei, 34 80078 Pozzuoli (Na), Italy

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DOI: 10.29026/oea.2024.230176 Cite this Article

Vittorio Bianco, Pietro Ferraro. Advancing computer-generated holographic display thanks to diffraction model-driven deep nets[J]. Opto-Electronic Advances, 2024, 7(1): 230176 Copy Citation Text

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References

[1] CL Zhang, DF Zhang, ZP Bian. Dynamic full-color digital holographic 3D display on single DMD. Opto-Electron Adv, 4, 200049(2021).

[2] L Shi, BC Li, C Kim et al. Towards real-time photorealistic 3D holography with deep neural networks. Nature, 591, 234-239(2021).

[3] ZH He, XM Sui, GF Jin et al. Progress in virtual reality and augmented reality based on holographic display. Appl Opt, 58, A74-A81(2019).

[4] V Bianco, M D'Agostino, D Pirone et al. Label‐free intracellular multi‐specificity in yeast cells by phase‐contrast tomographic flow cytometry. Small Methods, 7(2023).

[5] E Sahin, E Stoykova, J Mäkinen et al. Computer-generated holograms for 3D imaging: a survey. ACM Comput Surv, 53, 32(2021).

[6] RW Gerchberg. A practical algorithm for the determination of phase from image and diffraction plane pictures. Optik, 35, 237-246(1972).

[7] P Chakravarthula, YF Peng, J Kollin et al. Wirtinger holography for near-eye displays. ACM Trans Graph, 38, 213(2019).

[8] JZ Zhang, N Pégard, JS Zhong et al. 3D computer-generated holography by non-convex optimization. Optica, 4, 1306-1313(2017).

[9] KX Liu, JC Wu, ZH He et al. 4K-DMDNet: diffraction model-driven network for 4K computer-generated holography. Opto-Electron Adv, 6, 220135(2023).

[10] YF Peng, S Choi, J Kim et al. Speckle-free holography with partially coherent light sources and camera-in-the-loop calibration. Sci Adv, 7, eabg5040(2021).

[11] Y Ishii, T Shimobaba, D Blinder et al. Optimization of phase-only holograms calculated with scaled diffraction calculation through deep neural networks. Appl Phys B, 128, 22(2022).

[12] T Yu, SJ Zhang, W Chen et al. Phase dual-resolution networks for a computer-generated hologram. Opt Express, 30, 2378-2389(2022).

[13] JC Wu, KX Liu, XM Sui et al. High-speed computer-generated holography using an autoencoder-based deep neural network. Opt Lett, 46, 2908-2911(2021).

[14] P Ferraro, Nicola S De, G Coppola et al. Controlling image size as a function of distance and wavelength in Fresnel-transform reconstruction of digital holograms. Opt Lett, 29, 854-856(2004).

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Vittorio Bianco, Pietro Ferraro. Advancing computer-generated holographic display thanks to diffraction model-driven deep nets[J]. Opto-Electronic Advances, 2024, 7(1): 230176

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