Abstract

We propose a novel, to the best of our knowledge, and fast adaptive layer-based (ALB) method for generating a computer-generated hologram (CGH) with accurate depth information. A complex three-dimensional (3D) object is adaptively divided into layers along the depth direction according to its own non-uniformly distributed depth coordinates, which reduces the depth error caused by the conventional layer-based method. Each adaptive layer generates a single-layer hologram using the angular spectrum method for diffraction, and the final hologram of a complex three-dimensional object is obtained by superimposing all the adaptive layer holograms. A hologram derived with the proposed method is referred to as an adaptive layer-based hologram (ALBH). Our demonstration shows that the desired reconstruction can be achieved with 52 adaptive layers in 8.7 s, whereas the conventional method requires 397 layers in 74.9 s.

© 2024 Optica Publishing Group

Smoothing of inter-layer edge artifacts in depth-map computer-generated holograms

Sungjae Park, Jonghyun Lee, Wonwoo Choi, Shin-Woong Park, and Hwi Kim
Opt. Lett. 47(24) 6421-6424 (2022)

Computer-generated holography with ordinary display

Otoya Shigematsu, Makoto Naruse, and Ryoichi Horisaki
Opt. Lett. 49(8) 1876-1879 (2024)

Optimized computer-generated hologram for enhancing depth cue based on complex amplitude modulation

Dapu Pi, Juan Liu, Jie Wang, Yutong Sun, Yan Yang, Weirui Zhao, and Yongtian Wang
Opt. Lett. 47(24) 6377-6380 (2022)

Deep-learning-based computer-generated hologram from a stereo image pair

Chenliang Chang, Di Wang, Dongchen Zhu, Jiamao Li, Jun Xia, and Xiaolin Zhang
Opt. Lett. 47(6) 1482-1485 (2022)

Performance evaluation of ground layer adaptive optics based on layer correction efficiency

Ziming Li, Ying Yang, Lanqiang Zhang, Linhai Huang, and Changhui Rao
Opt. Lett. 49(6) 1624-1627 (2024)