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Combination of oriented partial differential equation and shearlet transform for denoising in electronic speckle pattern interferometry fringe patterns

机译:以电子散斑图案干涉条纹边缘图案的面向偏微分方程和Shearlet变换的组合

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摘要

It is a key step to remove the massive speckle noise in electronic speckle pattern interferometry (ESPI) fringe patterns. In the spatial-domain filtering methods, oriented partial differential equations have been demonstrated to be a powerful tool. In the transform-domain filtering methods, the shearlet transform is a state-of-the-art method. In this paper, we propose a filtering method for ESPI fringe patterns denoising, which is a combination of second-order oriented partial differential equation (SOOPDE) and the shearlet transform, named SOOPDE-Shearlet. Here, the shearlet transform is introduced into the ESPI fringe patterns denoising for the first time. This combination takes advantage of the fact that the spatial-domain filtering method SOOPDE and the transformdomain filtering method shearlet transform benefit from each other. We test the proposed SOOPDE-Shearlet on five experimentally obtained ESPI fringe patterns with poor quality and compare our method with SOOPDE, shearlet transform, windowed Fourier filtering (WFF), and coherence-enhancing diffusion (CEDPDE). Among them, WFF and CEDPDE are the state-of-the-art methods for ESPI fringe patterns denoising in transform domain and spatial domain, respectively. The experimental results have demonstrated the good performance of the proposed SOOPDE-Shearlet. (C) 2017 Optical Society of America
机译:它是消除电子散斑图案干涉测量(ESPI)条纹图案中的大规模散斑噪声的关键步骤。在空间域滤波方法中,已经证明了取向的部分微分方程是一个强大的工具。在变换域滤波方法中,Shearlet变换是一种最先进的方法。在本文中,我们提出了一种用于ESPI条纹图案的过滤方法,其是二阶取向部分微分方程(SOOPDE)和Shearlet变换的组合,称为SOOPDE-Shearlet。这里,Shearlet变换首次引入ESPI条纹图案。这种组合利用了空间域滤波方法SOOPDE和变换界限滤波方法Shearlet变换彼此受益。我们在五个实验获得的ESPI边缘图案上测试了所提出的SOOPDE-Shearlet,质量差,并将我们用SOOPDE,Shearlet变换,窗帘傅里叶滤波(WFF)和相干增强扩散(CEDPDE)进行比较。其中,WFF和CEDPDE分别是ESPI条纹图案分别在变换域和空间域中脱颖而出的最先进的方法。实验结果表明了所提出的索普氏素的良好性能。 (c)2017年光学学会

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  • 来源
    《Applied optics》 |2017年第10期|共8页
  • 作者单位

    Tianjin Univ Sch Elect &

    Informat Engn Tianjin 300000 Peoples R China;

    Tianjin Univ Sch Elect &

    Informat Engn Tianjin 300000 Peoples R China;

    Tianjin Univ Sch Elect &

    Informat Engn Tianjin 300000 Peoples R China;

    Tianjin Univ Sch Elect &

    Informat Engn Tianjin 300000 Peoples R China;

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  • 正文语种 eng
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