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Research on Denoising Method Based on Guided Bilateral Filter for Reconstructed Image in Terahertz Holography

机译:基于引导双侧滤波器在太赫兹全息术中的标签图像的去噪方法研究

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Terahertz digital holography, which can be used in nondestructive testing and other fields, is the effective combination of terahertz imaging and digital holography. The measurement accuracy may be influenced by the low energy of terahertz source and other factors; therefore it is very important to study denoising algorithms of terahertz digital holographic images. In this paper, optimally weighted bilateral filter (WBF) is applied in the preprocessing of guide image acquired by guided bilateral filter (GBF). This method can eliminate the noise in terahertz digital holography reconstructed image. We compare this algorithm with the original GBF with iterative reweighted least squares algorithm (IRLS). The experimental results show that the preprocessing method is better than the original algorithm.
机译:Terahertz数字全息术,可用于非破坏性测试和其他领域,是太赫兹成像和数字全息术的有效组合。测量精度可能受到太赫兹源和其他因素的低能量的影响;因此,研究太赫兹数字全息图像的去噪算法非常重要。在本文中,在通过引导的双侧滤波器(GBF)获取的引导图像的预处理中应用了最佳加权的双侧滤波器(WBF)。该方法可以消除Terahertz数字全息重建图像中的噪声。我们将该算法与原始GBF进行比较,具有迭代重新免除最小二乘算法(IRLS)。实验结果表明,预处理方法优于原始算法。

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