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Comparative analysis of interferogram noise filtration using wavelet transform and spin filtering algorithms

机译:基于小波变换和自旋滤波算法的干涉图噪声滤波比较分析

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The aim of this paper is to analyze 2D fringe pattern denoising performed by two chosen methods based on quasi1D twoarm spin filter and 2D discrete wavelet transform (DWT) signal decomposition and thresholding. The ultimate aim of this comparison is to estimate which algorithm is better suited for highaccuracy measurements by phase shifting interferom etry (PSI) with the phase step evaluation using the lattice site approach. The spin filtering method proposed by Yu et al. (1994) was designed to minimize possible fringe blur and distortion. The 2D DWT also presents such features due to a lossless nature of the signal wavelet decomposition. To compare both methods, a special 2D histogram introduced by Gutman and Weber (1998) is used to evaluate intensity errors introduced by each of the presented algorithms.
机译:本文的目的是分析基于准一维双臂双臂自旋滤波器和二维离散小波变换(DWT)信号分解和阈值处理的两种选择方法执行的二维条纹图案去噪。这种比较的最终目的是通过使用晶格位点法进行相移评估,通过相移干涉术(PSI)来估计哪种算法更适合于高精度测量。 Yu等人提出的自旋滤波方法。 (1994)的设计旨在最大程度地减少边缘模糊和失真。由于信号小波分解的无损性质,因此2D DWT也具有此类特征。为了比较这两种方法,Gutman和Weber(1998)引入了一种特殊的2D直方图来评估每种提出的算法引入的强度误差。

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