液晶与显示2025，Vol.40Issue(8)：1154-1162,9.DOI:10.37188/CJLCD.2025-0077
基于PSI-IPENet的两帧移相干涉相位恢复算法
Two-frame phase-shifting interferometry phase retrieval algorithm based on PSI-IPENet
摘要
Abstract
Phase-shifting interferometry is a widely used technique in precision optical metrology.However,conventional PSI methods typically require three or more phase-shifted interferograms,which limits their applicability in dynamic measurements and vibration-sensitive environments.To address this issue,this paper proposes a deep learning-based framework named PSI-IPENet.The framework adopts a Two-to-One structure,where two phase-shifted interferograms are used as dual-channel input,corresponding to a single phase map as the supervisory signal,and a dedicated dataset is constructed for training.PSI-IPENet leverages the feature extraction capability of IPENet and incorporates the physical characteristics of interferometric imaging,thereby enhancing the robustness and noise resistance of phase retrieval.Experimental results demonstrate that the proposed method maintains high-precision phase recovery performance even with a low number of input frames.Compared with the traditional four-step phase-shifting method,it shows significant advantages in terms of signal-to-noise ratio and phase error metrics.关键词
移相干涉/相位恢复/深度学习/IPENetKey words
phase-shifting interferometry/phase retrieval/deep learning/IPENet分类
数理科学引用本文复制引用
许莎莎,杨承霖,李明星,葛久捌,吴晶晶,俞琳,朱华新,胡立发..基于PSI-IPENet的两帧移相干涉相位恢复算法[J].液晶与显示,2025,40(8):1154-1162,9.基金项目
国家自然科学基金(No.61475152,No.62205127)Supported by National Natural Science Foundation of China(No.61475152,No.62205127) （No.61475152,No.62205127）
