Ramaiah Jagadesh, Rastogi Pramod, Rajshekhar Gannavarpu
Appl Opt. 2018 Mar 10;57(8):1944-1949. doi: 10.1364/AO.57.001944.
This paper presents a method for extracting multiple phases from a single moire fringe pattern in digital holographic interferometry. The method relies on component separation using singular value decomposition and an extended Kalman filter for demodulating the moire fringes. The Kalman filter is applied by modeling the interference field locally as a multi-component polynomial phase signal and extracting the associated multiple polynomial coefficients using the state space approach. In addition to phase, the corresponding multiple phase derivatives can be simultaneously extracted using the proposed method. The applicability of the proposed method is demonstrated using simulation and experimental results.
本文提出了一种在数字全息干涉测量中从单个莫尔条纹图案提取多相位的方法。该方法依赖于使用奇异值分解的分量分离和用于解调莫尔条纹的扩展卡尔曼滤波器。通过将干涉场局部建模为多分量多项式相位信号并使用状态空间方法提取相关的多个多项式系数来应用卡尔曼滤波器。除了相位之外，使用所提出的方法还可以同时提取相应的多个相位导数。通过仿真和实验结果证明了所提方法的适用性。
