References
Benton, S. A., Bove, J. & Michael, V. Holographic Imaging (John Wiley & Sons, 2008).
Maimone, A., Georgiou, A. & Kollin, J. S. Holographic near-eye displays for virtual and augmented reality. ACM Trans. Graph. 36, 85:1–85:16 (2017).
Shi, L., Huang, F.-C., Lopes, W., Matusik, W. & Luebke, D. Near-eye light field holographic rendering with spherical waves for wide field of view interactive 3D computer graphics. ACM Trans. Graph. 36, 236:1–236:17 (2017).
Tsang, P. W. M., Poon, T.-C. & Wu, Y. M. Review of fast methods for point-based computer-generated holography [Invited]. Photon. Res. 6, 837–846 (2018).
Sitzmann, V. et al. End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging. ACM Trans. Graph. 37, 114:1–114:13 (2018).
Lee, G.-Y. et al. Metasurface eyepiece for augmented reality. Nat. Commun. 9, 4562 (2018).
Hu, Y. et al. 3d-integrated metasurfaces for full-colour holography. Light Sci. Appl. 8, 86 (2019).
Melde, K., Mark, A. G., Qiu, T. & Fischer, P. Holograms for acoustics. Nature 537, 518–522 (2016).
Smalley, D. et al. A photophoretic-trap volumetric display. Nature 553, 486–490 (2018).
Hirayama, R., Plasencia, D. M., Masuda, N. & Subramanian, S. A volumetric display for visual, tactile and audio presentation using acoustic trapping. Nature 575, 320–323 (2019).
Rivenson, Y., Wu, Y. & Ozcan, A. Deep learning in holography and coherent imaging. Light Sci. Appl. 8, 85 (2019).
Shusteff, M. et al. One-step volumetric additive manufacturing of complex polymer structures. Sci. Adv. 3, eaao5496 (2017).
Article PubMed PubMed Central Google Scholar
See AlsoMicroCloud Hologram Inc. (HOLO) Aktienprognose 2025-2030: Kursprognose & AusblickUsing Artificial Intelligence to Generate 3D Holograms in Real-Time on a SmartphoneHolograms in Real-Life: 6 Examples of How You Can Use Holographic Technology3D Hologram Projection Systems - Holographic stage - Virtual OnKelly, B. E. et al. Volumetric additive manufacturing via tomographic reconstruction. Science 363, 1075–1079 (2019).
Levoy, M. & Hanrahan, P. Light field rendering. In Proc. 23rd Annual Conference on Computer Graphics and Interactive Techniques 31–42 (ACM, 1996).
Waters, J. P. Holographic image synthesis utilizing theoretical methods. Appl. Phys. Lett. 9, 405–407 (1966).
Leseberg, D. & Frère, C. Computer-generated holograms of 3-D objects composed of tilted planar segments. Appl. Opt. 27, 3020–3024 (1988).
Tommasi, T. & Bianco, B. Computer-generated holograms of tilted planes by a spatial frequency approach. J. Opt. Soc. Am. A 10, 299–305 (1993).
Matsushima, K. & Nakahara, S. Extremely high-definition full-parallax computer-generated hologram created by the polygon-based method. Appl. Opt. 48, H54–H63 (2009).
Symeonidou, A., Blinder, D., Munteanu, A. & Schelkens, P. Computer-generated holograms by multiple wavefront recording plane method with occlusion culling. Opt. Express 23, 22149–22161 (2015).
Lucente, M. E. Interactive computation of holograms using a look-up table. J. Electron. Imaging 2, 28–35 (1993).
Lucente, M. & Galyean, T. A. Rendering interactive holographic images. In Proc. 22nd Annual Conference on Computer Graphics and Interactive Techniques, 387–394 (ACM, 1995).
Lucente, M. Interactive three-dimensional holographic displays: seeing the future in depth. Comput. Graph. 31, 63–67 (1997).
Chen, J.-S. & Chu, D. P. Improved layer-based method for rapid hologram generation and real-time interactive holographic display applications. Opt. Express 23, 18143–18155 (2015).
Zhao, Y., Cao, L., Zhang, H., Kong, D. & Jin, G. Accurate calculation of computer-generated holograms using angular-spectrum layer-oriented method. Opt. Express 23, 25440–25449 (2015).
Makey, G. et al. Breaking crosstalk limits to dynamic holography using orthogonality of high-dimensional random vectors. Nat. Photon. 13, 251–256 (2019).
Article ADS CAS Google Scholar
Yamaguchi, M., Hoshino, H., Honda, T. & Ohyama, N. in Practical Holography VII: Imaging and Materials Vol. 1914 (ed. Benton, S. A.) 25–31 (SPIE, 1993).
Barabas, J., Jolly, S., Smalley, D. E. & Bove, V. M. Jr in Practical Holography XXV: Materials and Applications Vol. 7957 (ed. Bjelkhagen, H. I.) 13–19 (SPIE, 2011).
Zhang, H., Zhao, Y., Cao, L. & Jin, G. Fully computed holographic stereogram based algorithm for computer-generated holograms with accurate depth cues. Opt. Express 23, 3901–3913 (2015).
Padmanaban, N., Peng, Y. & Wetzstein, G. Holographic near-eye displays based on overlap-add stereograms. ACM Trans. Graph. 38, 214:1–214:13 (2019).
Shimobaba, T., Masuda, N. & Ito, T. Simple and fast calculation algorithm for computer-generated hologram with wavefront recording plane. Opt. Lett. 34, 3133–3135 (2009).
Wakunami, K. & Yamaguchi, M. Calculation for computer generated hologram using ray-sampling plane. Opt. Express 19, 9086–9101 (2011).
Häussler, R. et al. Large real-time holographic 3Dd displays: enabling components and results. Appl. Opt. 56, F45–F52 (2017).
Hamann, S., Shi, L., Solgaard, O. & Wetzstein, G. Time-multiplexed light field synthesis via factored Wigner distribution function. Opt. Lett. 43, 599–602 (2018).
Nair, V. & Hinton, G. E. Rectified linear units improve restricted Boltzmann machines. In Proc. International Conference on International Conference on Machine Learning (ICML) 807–814 (Omnipress, 2010).
Sinha, A., Lee, J., Li, S. & Barbastathis, G. Lensless computational imaging through deep learning. Optica 4, 1117–1125 (2017).
Metzler, C. et al. prdeep: robust phase retrieval with a flexible deep network. In Proc. International Conference on International Conference on Machine Learning (ICML) 3501–3510 (JMLR, 2018).
Eybposh, M. H., Caira, N. W., Chakravarthula, P., Atisa, M. & Pégard, N. C. in Optics and the Brain BTu2C–2 (Optical Society of America, 2020).
Rivenson, Y., Zhang, Y., Günaydın, H., Teng, D. & Ozcan, A. Phase recovery and holographic image reconstruction using deep learning in neural networks. Light Sci. Appl. 7, 17141 (2018).
Ren, Z., Xu, Z. & Lam, E. Y. Learning-based nonparametric autofocusing for digital holography. Optica 5, 337–344 (2018).
Wu, Y. et al. Extended depth-of-field in holographic imaging using deep-learning-based autofocusing and phase recovery. Optica 5, 704–710 (2018).
Horisaki, R., Takagi, R. & Tanida, J. Deep-learning-generated holography. Appl. Opt. 57, 3859–3863 (2018).
Peng, Y., Choi, S., Padmanaban, N. & Wetzstein, G. Neural holography with camera-in-the-loop training. ACM Trans. Graph. 39, 185:1–185:14 (2020).
Jiao, S. et al. Compression of phase-only holograms with JPEG standard and deep learning. Appl. Sci. 8, 1258 (2018).
Cimpoi, M., Maji, S., Kokkinos, I., Mohamed, S. & Vedaldi, A. Describing textures in the wild. In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 3606–3613 (IEEE, 2014).
Dai, D., Riemenschneider, H. & Gool, L. V. The synthesizability of texture examples. In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 3027–3034 (IEEE, 2014).
Kim, C., Zimmer, H., Pritch, Y., Sorkine-Hornung, A. & Gross, M. Scene reconstruction from high spatio-angular resolution light fields. ACM Trans. Graph. 32, 73:1–73:12 (2013).
Matsushima, K. & Shimobaba, T. Band-limited angular spectrum method for numerical simulation of free-space propagation in far and near fields. Opt. Express 17, 19662–19673 (2009).
Shimobaba, T. & Ito, T. A color holographic reconstruction system by time division multiplexing with reference lights of laser. Opt. Rev. 10, 339–341 (2003).
Hsueh, C. K. & Sawchuk, A. A. Computer-generated double-phase holograms. Appl. Opt. 17, 3874–3883 (1978).
Mendoza-Yero, O., Mínguez-Vega, G. & Lancis, J. Encoding complex fields by using a phase-only optical element. Opt. Lett. 39, 1740–1743 (2014).
Xiao, L., Kaplanyan, A., Fix, A., Chapman, M. & Lanman, D. DeepFocus: learned image synthesis for computational displays. ACM Trans. Graph. 37, 200:1–200:13 (2018).
Wang, Y., Sang, X., Chen, Z., Li, H. & Zhao, L. Real-time photorealistic computer-generated holograms based on backward ray tracing and wavefront recording planes. Opt. Commun. 429, 12–17 (2018).
Article ADS CAS Google Scholar
Hasegawa, N., Shimobaba, T., Kakue, T. & Ito, T. Acceleration of hologram generation by optimizing the arrangement of wavefront recording planes. Appl. Opt. 56, A97–A103 (2017).
Sifatul Islam, M. et al. Max-depth-range technique for faster full-color hologram generation. Appl. Opt. 59, 3156–3164 (2020).
Kingma, D. P. & Ba, J. Adam: a method for stochastic optimization. In International Conference on Learning Representations (ICLR) (2015).
Ronneberger, O., Fischer, P. & Brox, T. U-net: convolutional networks for biomedical image segmentation. In Medical Image Computing and Computer-Assisted Intervention (MICCAI) 234–241 (Springer, 2015).
Yu, F., Koltun, V. & Funkhouser, T. Dilated residual networks. In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 472–480 (IEEE, 2017).