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首页> 外文期刊>Applied physics >Speckle removal in variable density ESPI fringe patterns with TGV-Hilbert-Shearlet algorithm
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Speckle removal in variable density ESPI fringe patterns with TGV-Hilbert-Shearlet algorithm

机译：具有TGV-HILBERT-Shearlet算法的可变密度ESPI条纹图案中的散斑去除

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摘要

The fringe pattern obtained by optical interference is susceptible to speckle noise, which causes the fringes to be blurred to some extent. It is a critical step to achieve fringe smoothness while removing speckle noise. In this paper, we propose a new variable image decomposition model TGV-Hilbert-Shearlet, in which low-density fringes, high-density fringes, and noise are described by the total generalized variation (TGV) space, adaptive Hilbert space, and shearlet space, respectively. By assigning appropriate parameters, the image noise reduction and the fringe structural smoothness can be achieved optimally. We test the proposed method on five computer simulation ESPI fringe patterns and three experimentally obtained ESPI images. In addition, we compare it with BL-Hilbert-L-2 and Window Fourier Filter (WFF), which were proved to be effective in denoising. On the basis of regions marked in different images, the signal-to-noise ratio and the average equivalent number of looks are calculated to better characterize the denoising effect and fringe smoothness. Vast experiments show that the proposed TGV-Hilbert-Shearlet method can effectively reduce speckle noise in ESPI images, protect fringe structural information and improve image quality in all aspects compared with BL-Hilbert-L-2 and WFF methods.
机译：通过光学干涉获得的条纹图案易于斑点噪声，这导致条纹在一定程度上被模糊。在去除斑点噪声的同时实现条纹光滑度是一个关键步骤。在本文中，我们提出了一种新的可变图像分解模型TGV-HILBERT-Shearlet，其中低密度流动，高密度条纹和噪声由总广义变化（TGV）空间，自适应HILBERT空间和Shearlet描述空间分别。通过分配适当的参数，可以最佳地实现图像降噪和条纹结构平滑度。我们在五个计算机仿真ESPI条纹图案中测试所提出的方法，三个实验获得的ESPI图像。此外，我们将其与BL-HILBERT-L-2和窗口傅里叶滤波器（WFF）进行比较，这被证明是有效的去噪。在不同图像中标记的区域的基础上，计算信噪比和平均等同数量的外观，以更好地表征去噪效果和边缘光滑度。卓越的实验表明，与BL-HILBERT-L-2和WFF方法相比，所提出的TGV-Hilbert-Shearlet方法可以有效地降低ESPI图像中的散斑噪声，保护条纹结构信息并改善所有方面的图像质量。

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  • 来源
    《Applied physics》 |2020年第6期|101.1-101.13|共13页
  • 作者

    Huang Shengjian; Tang Chen; Xu Min; Lei Zhenkun;

  • 作者单位

    Tianjin Univ Sch Elect & Informat Engn Tianjin 300072 Peoples R China;

    Tianjin Univ Sch Elect & Informat Engn Tianjin 300072 Peoples R China;

    Tianjin Univ Sch Elect & Informat Engn Tianjin 300072 Peoples R China;

    Dalian Univ Technol State Key Lab Struct Anal Ind Equipment Dalian 116024 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
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