Review of fast methods for point-based computer-generated holography [Invited]

Abstract

Computer-generated holography (CGH) is a technique for converting a three-dimensional (3D) object scene into a two-dimensional (2D), complex-valued hologram. One of the major bottlenecks of CGH is the intensive computation that is involved in the hologram generation process. To overcome this problem, numerous research works have been conducted with the aim of reducing arithmetic operations involved in CGH. In this paper, we shall review a number of fast CGH methods that have been developed in the past decade. These methods, which are commonly referred to as point-based CGH, are applied to compute digital Fresnel holograms for an object space that is represented in a point cloud model. While each method has its own strength and weakness, trading off conflicting issues, such as computation efficiency and memory requirement, they also exhibit potential grounds of synergy. We hope that this paper will bring out the essence of each method and provide some insight on how different methods may crossover into better ones.

Enhancing the Quality of Sampled Phase-Only Hologram (SPOH) Based on Time-Division Comb Filtering

“…The process of generating a digital Fresnel hologram is briefly outlined as follows. There are polygon-based [27] and point-based [28] methods. In this paper, we deal with the point-based method.…”

Recent Advances in the Processing and Rendering Algorithms for Computer-Generated Holography

“…However, when the scene consists of a huge amount of points and occlusion or reflection effects need to be taken into account, the computational cost of the algorithm is typically unacceptable for modern hardware. To speed up the generation process, several techniques have been proposed in the literature [31], such as the Look-Up-Tables (LUTs), originally proposed in [32] that consist of pre-calculated, store-and-reuse parts of the computations performed during the recording process. Another acceleration method is the wavefront-recording plane (WRP) [33], which consists of the interposition of an intermediate plane (the WRP) between the point cloud and the hologram plane.…”

Hardware implementations of computer-generated holography: a review

“…To the best of our knowledge, there is no modern review paper that specifically targets the hardware used for the generation and processing of computer holography. Previously published survey papers [9][10][11][12][13][14] provide analyses and conceptual reviews of fast hologram generation algorithms. Additionally, Shimobaba et al 15 and Shimobaba and Ito 16 provided overviews in terms of CGH-related hardware implementations.…”