Xu Shuhong, Farbiz Farzam, Solanki Sanjeev, Liang Xinan, Pan Yuechao, Xu Xuewu
Institute for Infocomm Research, 1 Fusionopolis Way, Singapore, Singapore 138632.
Appl Opt. 2009 Dec 1;48(34):H196-202. doi: 10.1364/AO.48.00H196.
An effective hologram region (EHR) based approach is presented to speed up the computation of computer generated holograms (CGHs). The object space is predivided into subspaces, and an EHR for each subspace is predefined according to the maximum spatial frequency of interference fringes, light diffraction efficiency, and CGH binarization effect. To compute the hologram of an object, the object points are first categorized according to which subspace they are located in, and then their holograms are calculated using the corresponding EHRs. As each EHR usually takes up only a portion of the hologram plate, the CGH computational load is thus reduced. This new approach is highly suitable for large hologram display systems. In addition, when compared to the reconstructed image using the conventional approach, our experimental results show that more noise can be blocked off and the reconstructed image appears sharper without noticeable brightness reduction.
提出了一种基于有效全息图区域（EHR）的方法来加速计算机生成全息图（CGH）的计算。将物体空间预先划分为子空间，并根据干涉条纹的最大空间频率、光衍射效率和CGH二值化效果为每个子空间预定义一个EHR。为了计算物体的全息图，首先根据物体点所在的子空间对其进行分类，然后使用相应的EHR计算它们的全息图。由于每个EHR通常只占用全息图板的一部分，因此降低了CGH的计算量。这种新方法非常适合大型全息显示系统。此外，与使用传统方法重建的图像相比，我们的实验结果表明，可以阻挡更多噪声，重建图像看起来更清晰，且亮度没有明显降低。
