Zhou Jie, Wang Jiabao, Yu Guangwei, Wu Yang, Wang Mohan, Wang Jun
Opt Lett. 2024 Sep 15;49(18):5043-5046. doi: 10.1364/OL.532678.
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.
由于空间光调制器（SLM）的像素化特性，计算机生成全息术（CGH）会受到高衍射级（HDO）的影响，通常需要庞大的光学滤波系统。为了解决这个问题，之前引入了一种名为高阶梯度下降（HOGD）算法的新型无滤波全息方法，以在不进行光学滤波的情况下优化高衍射级，从而实现紧凑的全息显示。然而，该算法忽略了空间光调制器的一个关键物理参数——填充因子，导致光学质量有限。在此，我们引入一种基于填充因子的HOGD（FF-HOGD）算法，专门设计用于通过将填充因子纳入优化过程来提高无滤波全息术的质量。通过数值模拟和光学实验证明了FF-HOGD的质量优势。
