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通过构建新的连通干涉图在恶劣条件下进行精确的相位恢复。

Precise phase retrieval under harsh conditions by constructing new connected interferograms.

作者信息

Deng Jian, Wu Dan, Wang Kai, Vargas Javier

机构信息

Department of Electrical &Electronic Engineering, South University of Science and Technology of China, Shenzhen, 518055, China.

School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.

出版信息

Sci Rep. 2016 Apr 14;6:24416. doi: 10.1038/srep24416.

Abstract

To date, no phase-shifting method can accurately retrieve the phase map from a small set of noisy interferograms with low phase-shifts. In this Letter, we develop a novel approach to resolve this limitation under such harsh conditions. The proposed new method is based on constructing a set of connected interferograms by means of simple subtraction and addition operations, in which all the subset of interferograms have the same phase-shift interval of π/2. According to this characteristic, this set of connected interferograms can be processed with conventional phase retrieval methods as PCA or AIA obtaining accurate results. The reduction in the RMS errors after using our method reaches as high as 93.7% and 89.3% respectively comparing with conventional PCA and AIA methods under harsh conditions. Both simulation and experiment results demonstrate that the new proposed method provides an effective way, with high precision and robustness against noise, for phase retrieval.

摘要

到目前为止,没有任何相移方法能够从少量具有低相移的噪声干涉图中准确地检索相位图。在本信函中,我们开发了一种新颖的方法来解决在这种苛刻条件下的这一限制。所提出的新方法基于通过简单的减法和加法运算构建一组相连的干涉图,其中所有干涉图子集具有相同的π/2相移间隔。根据这一特性,这组相连的干涉图可以用诸如主成分分析(PCA)或自适应干涉分析(AIA)等传统相位检索方法进行处理以获得准确结果。在苛刻条件下,使用我们的方法后均方根误差(RMS)的降低分别与传统PCA和AIA方法相比高达93.7%和89.3%。仿真和实验结果均表明,新提出的方法为相位检索提供了一种有效的方法,具有高精度和抗噪声鲁棒性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d110/4830993/39d83a375930/srep24416-f1.jpg

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