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基于差分图归一化和菱形对角向量归一化的三步随机相位恢复方法。

Three-step random phase retrieval approach based on difference map normalization and diamond diagonal vector normalization.

作者信息

Zhang Yu, Tian Xiaobo, Liang Rongguang

出版信息

Opt Express. 2018 Oct 29;26(22):29170-29182. doi: 10.1364/OE.26.029170.

DOI:10.1364/OE.26.029170
PMID:30470083
Abstract

To overcome the phase shift error in phase shifting interferometry, a three-step random phase retrieval approach based on difference map normalization and diamond diagonal vector normalization (DN&DDVN) is proposed. It does not need pre-filtering for the interferograms and can obtain relatively accurate phase distribution with a simple process and less computational time. This simulation and experiment verify the correctness and feasibility of DN&DDVN.

摘要

为了克服相移干涉术中的相移误差，提出了一种基于差分图归一化和菱形对角向量归一化（DN&DDVN）的三步随机相位恢复方法。该方法无需对干涉图进行预滤波，通过简单的过程和较少的计算时间即可获得相对准确的相位分布。仿真和实验验证了DN&DDVN的正确性和可行性。

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