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Evaluation of the uncertainty of phase-difference measurements in (quasi-)Fourier transform digital holographic interferometry

机译:(准)傅里叶变换数字全息干涉术中相差测量不确定度的评估

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Estimation of the uncertainty is an essential requisite for high-end measurement systems. In this communication we derive an expression to evaluate the standard uncertainty of the phase-difference measurements resulting from Fourier and quasi-Fourier transform digital holographic interferometry. We apply the law of propagation of uncertainty, as defined in the "Guide to the expression of uncertainty in measurement" (GUM), to the digital reconstruction of two holograms by Fourier transformation and to the subsequent calculation of the phase change between the holographic reconstructions. The resulting expression allows the evaluation of the uncertainty of the phase difference at every pixel in the reconstruction plane in terms of the measured hologram brightness values and their uncertainty at the whole of the pixels of the original digital holograms. This expression is simplified by assuming a linear dependence between the uncertainty and the local value of the original holograms; in that case, the local uncertainty of the phase difference can be evaluated from the local complex values of the reconstructed holograms. We assess the behavior of the method by comparing the predicted standard uncertainty with the sample variance obtained from experiments conducted under repeatability conditions, and found a good correlation between both quantities. This experimental procedure can be also used to calibrate the parameters of the linear function relating the uncertainty with the local value of the digital holograms, for a given set of operational conditions of the acquisition device.
机译:不确定度的估计是高端测量系统的基本要求。在本通讯中,我们得出一个表达式,以评估由傅里叶和准傅里叶变换数字全息干涉术产生的相差测量的标准不确定性。我们将“在测量中表示不确定性的指南”(GUM)中定义的不确定性传播定律,通过傅立叶变换应用于两个全息图的数字重建,以及随后对全息重​​建之间的相变进行计算。结果表达式使得可以根据测得的全息图亮度值及其在原始数字全息图的整个像素上的不确定性来评估重建平面中每个像素的相位差的不确定性。假设不确定度与原始全息图的局部值之间存在线性关系,可以简化该表达式。在那种情况下,可以从重构的全息图的局部复数值来评估相位差的局部不确定性。我们通过将预测的标准不确定性与在可重复性条件下进行的实验中获得的样品方差进行比较,来评估该方法的行为,并发现两个量之间具有良好的相关性。对于给定的一组采集设备的操作条件,该实验过程还可用于校准将不确定性与数字全息图的局部值相关的线性函数的参数。

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