J Opt Soc Am A Opt Image Sci Vis. 2023 Apr 1;40(4):B25-B32. doi: 10.1364/JOSAA.478430.
We implement a limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) optimization of phase-only computer-generated hologram for a multi-depth three-dimensional (3D) target. Instead of computing the full 3D reconstruction of the hologram, we use a novel method using L-BFGS with sequential slicing (SS) for partial evaluation of the hologram during optimization that only computes loss for a single slice of the reconstruction at every iteration. We demonstrate that its ability to record curvature information enables L-BFGS to have good quality imbalance suppression under the SS technique.
我们实现了一种有限内存的 Broyden-Fletcher-Goldfarb-Shanno(L-BFGS)优化算法,用于对多深度三维(3D)目标的纯相位计算机生成全息图进行优化。我们没有计算全息图的完整 3D 重建,而是使用一种新颖的方法,在优化过程中使用 L-BFGS 与顺序切片(SS)相结合,对全息图进行部分评估,每次迭代仅计算重建的单个切片的损失。我们证明了它记录曲率信息的能力使 L-BFGS 在 SS 技术下具有良好的质量不平衡抑制能力。