Adaptive weighted Gerchberg-Saxton algorithm for generation of phase-only hologram with artifacts suppression

作者：Yang Wu, Jun Wang, Chun Chen, Chanjuan Liu, Fengming Jin, Ni Chen · 发表于：Optics Express · 年份：2020 · DOI：10.1364/oe.413723 · 被引用次数：150 · 研究领域：Advanced Optical Imaging Technologies、Digital Holography and Microscopy、Photorefractive and Nonlinear Optics

In the conventional weighted Gerchberg-Saxton (GS) algorithm, the feedback is used to accelerate the convergence. However, it will lead to the iteration divergence. To solve this issue, an adaptive weighted GS algorithm is proposed in this paper. By replacing the conventional feedback with our designed feedback, the convergence can be ensured in the proposed method. Compared with the traditional GS iteration method, the proposed method improves the peak signal-noise ratio of the reconstructed image with 4.8 dB on average. Moreover, an approximate quadratic phase is proposed to suppress the artifacts in optical reconstruction. Therefore, a high-quality image can be reconstructed without the artifacts in our designed Argument Reality device. Both numerical simulations and optical experiments have validated the effectiveness of the proposed method.