Digital speckle pattern interferometry (DSPI) is a widely used technique in various high-precision nondestructive testing applications. However, a coherence multiplicative noise, called speckle noise, is produced. Speckle noise degrades the quality and the resolution of the fringes, leading to difficulties in fringe analysis and phase retrieval. We aim to restore the DSPI correlation fringes and reduce the speckle noise through a multidirectional total variation method. In this method, the local fringe orientation, computed through Riesz transform, is used to increase the sensitivity of the variational regularization to the spatially varying directional intensity changes. The proposed algorithm is applied to the directional wavelet phase retrieval technique. The performance of the proposed method is evaluated with both simulated and experimental DSPI fringe patterns, obtaining satisfactory results.

中文翻译：

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基于多方向总方差的条纹图案去斑方法：在数字斑点图案干涉测量中的相位检索中的应用

数字散斑图案干涉术（DSPI）是各种高精度无损测试应用中广泛使用的技术。但是，会产生称为斑点噪声的相干乘法噪声。散斑噪声会降低条纹的质量和分辨率，从而导致条纹分析和相位恢复困难。我们旨在通过多方向总变化方法来恢复DSPI相关条纹并减少散斑噪声。在此方法中，通过Riesz变换计算出的局部条纹方向用于提高变化正则化对空间变化方向强度变化的敏感性。将该算法应用于方向小波相位检索技术。