JOURNAL ARTICLE

Multiplane Holographic Imaging Using the Spatial Light Modulator

Zhongsheng ZhaiQinyang LiXuan HeQinghua LvWei FengZhen ZengXuanze Wang

Year: 2023 Journal:   Photonics Vol: 10 (9)Pages: 977-977   Publisher: Multidisciplinary Digital Publishing Institute

Abstract

The optimization of imaging accuracy and speed is a crucial issue in the development of computer-generated holograms (CGH) for three-dimensional (3D) displays. This paper proposes an optimized iterative algorithm based on the angular spectrum method (ASM) to achieve high-quality holographic imaging across multiple planes. To effectively utilize spatial resources for multi-image reconstruction and mitigate the speckle noise caused by the overlapping of target images, constraint factors are introduced between different layers within the same region. The seeking rule of the constraint factor is also analyzed. By utilizing both constraint factors and variable factors, the presented method is able to calculate phase holograms for target figure imaging at four different planes. Simulation and experimental results demonstrate that the proposed method effectively improves the overall quality of the different planes, thus holding great potential for wide-ranging applications in the field of holography.

Keywords:
Holography Spatial light modulator Computer science Speckle pattern Constraint (computer-aided design) Speckle noise Image quality Holographic display Computer-generated holography Optics Ranging Angular spectrum method Computer vision Noise (video) Light field Integral imaging Artificial intelligence Image (mathematics) Physics Mathematics Telecommunications

Metrics

9
Cited By
1.95
FWCI (Field Weighted Citation Impact)
33
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Optical Imaging Technologies
Physical Sciences →  Engineering →  Media Technology
Digital Holography and Microscopy
Physical Sciences →  Physics and Astronomy →  Atomic and Molecular Physics, and Optics
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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