Quality improvement of unfiltered holography by optimizing high diffraction orders with fill factor
Computer-generated holography (CGH) suffers from high diffraction orders (HDOs) due to the pixelated nature of spatial light modulators (SLMs), typically requiring bulky optical filtering systems. To address this issue, a novel unfiltered holography approach known as the high-order gradient descent (HOGD) algorithm was previously introduced to optimize HDOs without optical filtering, enabling compact holographic displays. However, this algorithm overlooks a crucial physical parameter of SLMs-the fill factor-leading to limited optical quality. Here, we introduce a fill factor-based HOGD (FF-HOGD) algorithm, specifically designed to improve the quality of unfiltered holography by incorporating the fill factor into the optimization process. The quality advantage of FF-HOGD is demonstrated through numerical simulations and optical experiments.
Authors
- M. Wang
- Guangwei Yu (ORCID: https://orcid.org/0000-0001-9885-1804)
- Jun Wang (ORCID: https://orcid.org/0000-0003-0064-3551)
- Jie Zhou (ORCID: https://orcid.org/0000-0001-7701-234X)
- Jiabao Wang (ORCID: https://orcid.org/0000-0002-7350-4977)
- Yang Wu (ORCID: https://orcid.org/0000-0002-1670-565X)
Publication Details
- Journal
- Optics Letters
- Published
- 2024-08-15
- DOI
- https://doi.org/10.1364/ol.532678
- Citations
- 3
- Primary Topic
- Advanced Optical Imaging Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.96
Funders
- National Natural Science Foundation of China
- Chengdu Science and Technology Program