小波数字滤波在径向剪切干涉测量中的应用

Yongzhao Du, Chun Tang, G. Feng, Hongru Li, G. Deng, Shouhuan Zhou
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引用次数: 0

摘要

针对径向剪切干涉条纹的频谱混叠问题,提出了一种基于离散小波变换(DWT)去除干涉条纹背景分量和高频分量的新方法。该图像预滤波阶段不仅使FFT方法能够解调更大带宽的干涉条纹,而且显著降低了散斑噪声。当波前较复杂时,采用FFT方法重建的均方根误差优于/25,而采用本文提出的新方法重建的均方根误差优于/40。对比分析表明,新方法具有较强的抗噪声和抗频谱混叠能力,降低了频域滤波器的设计要求,提高了波前检测的精度和稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Wavelet Digital Filter in the Radial Shearing Interferometry
For the problem of spectrum aliasing of radial shearing interference fringes, a new technique for removing the background components and high frequency components of interference fringes based on discrete wavelet transform (DWT) is established. This image pre-filtering stage not only enables the FFT method to demodulate interference fringes with larger bandwidths but also reduces speckle noise significantly. When the wavefront is complex, the reconstruction RMS error is better than /25 by FFT method, however, by using the new method suggested here it is better than /40. Comparison analysis showed that the new method has strong capabilities to anti-noise and anti-aliasing of spectrum, reduces the frequency domain filter design requirements and improves the accuracy and stability of the wavefront detection.
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