Time-Multiplexing and Filtering Holography: Enhancing Depth Cues and Robustness Against Noise

Holography is a promising approach to recreate lifelike 3D scenes. However, due to the current Spatial Light Modulators (SLMs) lacking sufficient pixels, the defocused planes of holograms always exhibit obvious interference phenomena. The methods based on random phase can alleviate this problem, but they always affect the imaging quality of the focal plane. Meanwhile, direct current (DC) noise of nondiffracted light in SLMs, coupled with ubiquitous dynamic noise, has long been a fundamental issue affecting holographic display quality. In this study, we proposed a method based on static high-pass filtering and time-multiplexing that overcomes the traditional tradeoff between divergence capability of holograms and display quality in focal planes. Simultaneously, the proposed method can eliminate DC and dynamic noise with a simple and robust structure. Moreover, we further extended artificial intelligence-driven algorithms to achieve higher-quality on-axis amplitude-only holograms. The Simulations and experiments demonstrated that the developed method is a promising and easily generalized solution for time-multiplexing holography.