Optical tomography in coherent off-axis scanning holography

Yongwei Yao; Yaping Zhang; Ting-Chung Poon

doi:10.1117/12.2643839

19 December 2022 Optical tomography in coherent off-axis scanning holography

Yongwei Yao, Yaping Zhang, Ting-Chung Poon

Proceedings Volume 12318, Holography, Diffractive Optics, and Applications XII; 123181L (2022) https://doi.org/10.1117/12.2643839
Event: SPIE/COS Photonics Asia, 2022, Online Only

Abstract

Off-axis optical scanning holography (OSH) has been recently proposed to perform scanning holography without the use of heterodyning. In the present work, we combine the principle of off-axis scanning holography operating in the coherent mode with the idea of a layer-based method to achieve a new computational imaging technique for optical tomography. The point cloud data of a complex three-dimensional (3D) scene is layered along the depth direction as the 3D object is divided into a series of planar layers parallel to the hologram along the optical axis direction. The data of each layer generates a single-layer hologram under coherent off-axis scanning holography. Finally, the hologram of a complex three-dimensional object is obtained by superimposing all the single-layer holograms. We use a single-sideband filter to extract the hologram spectrum to obtain a positive first-order reconstruction and demonstrate numerical reconstruction with different diffraction distances. Also, optically reconstructed images are displayed by a spatial light modulator. The results indicate that the proposed method can realize the holographic recording and reconstruction of a complex three-dimensional object without the zeroth-order beam and the twin image, providing a new computational method for the generation of holograms of large-scale and long-depth 3D objects.

Conference Presentation

Citation Download Citation

Yongwei Yao, Yaping Zhang, and Ting-Chung Poon "Optical tomography in coherent off-axis scanning holography", Proc. SPIE 12318, Holography, Diffractive Optics, and Applications XII, 123181L (19 December 2022); https://doi.org/10.1117/12.2643839

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