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A denoising scheme for DSPI phase based on improved variational mode decomposition

机译:基于改进的变模分解的DSPI相位去噪方案

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Aiming at reducing the noise interference of digital speckle pattern interferometry (DSPI) phase map, a DSPI phase denoised method based on improved variational mode decomposition (IVMD) is proposed in this paper. Firstly, the IVMD method is adopted to decompose DSPI phase map and obtain the optimal mode components; Then, according to the mode components characteristics, an adaptively mode threshold method is proposed to process the mode components. Finally, the denoised mode components are reconstructed to obtain the denoised DSPI phase map. The result indicates that the proposed method can effectively filter out noise interference, and the peak signal-to-noise ratio (PSNR) is higher than other denoised methods.
机译:为了减少数字散斑干涉图(DSPI)相位图的噪声干扰,提出了一种基于改进的变模分解(IVMD)的DSPI相位去噪方法。首先,采用IVMD方法对DSPI相位图进行分解,得到最优模式分量。然后,根据模式分量的特点,提出了一种自适应模式阈值方法来处理模式分量。最后,去噪模式分量被重建以获得去噪的DSPI相位图。结果表明,该方法能够有效滤除噪声干扰,峰值信噪比(PSNR)高于其他降噪方法。

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