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Performance evaluation of a phase retrieval algorithm from sequences of interferograms with unknown phase shifts using generalized N-dimensional Lissajous figures

机译:使用广义N维Lissajous图形从具有未知相移的干涉图序列中评估相位检索算法的性能

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Phase retrieval is a basic step for most interferometric techniques. Both spatial and temporal approaches are frequently used. Temporal methods require a sequence of images with very well know phase shifting increments to produce accurate results. Sometimes environmental disturbances can add random phase values that can result in a sequence of images with virtually unknown phase shift increments. This paper presents and evaluates an approach to retrieve phase values from a sequence of five or more phase shifted images by unknown quantities. The phase shifting increments are determined from Lissajous ellipsis. This paper introduces the use of N-dimensional Lissajous figures to determine phase shifting increments. The use of additional dimensions makes the phase shifting increment determination more robust and less dependent of the pixel choices. The mathematical background is detailed and discussed. The paper presents and evaluates simulations and real world examples using fringe projection and speckle interferometry.
机译:相位检索是大多数干涉测量技术的基本步骤。时空方法都经常使用。时间方法需要具有众所周知的相移增量的图像序列才能产生准确的结果。有时,环境干扰会添加随机相位值,从而导致一系列图像的相移增量实际上未知。本文提出并评估了一种方法,该方法可以从五个或更多相移图像序列中以未知量检索相位值。相移增量由李萨如省略号确定。本文介绍了使用N维李沙育图形来确定相移增量。附加尺寸的使用使得相移增量确定更加鲁棒并且更少地依赖于像素选择。详细的数学背景和讨论。本文使用条纹投影和散斑干涉法介绍并评估了仿真和实际示例。

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