基于迭代Mmse滤波的超声漏水图像去噪

M. Yahia, M. Mortula, Ameen Awwad, L. Albasha, Tarig Ali
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引用次数: 0

摘要

超声成像在水环境中有许多应用。本研究考虑了漏水环境。然而,超声图像受到散斑噪声的污染,影响了图像的质量。它使诊断、定量和视觉测量变得复杂。本文将迭代最小均方误差(IMMSE)方法推广到超声图像去斑。因此,通过优化设置迭代次数,IMMSE滤波方法在斑点去除和边缘保持方面优于传统的散斑滤波方法,如均值滤波、中值滤波和改进的Lee滤波。
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Ultrasound Water Leakage Image Denoising By The Iterative Mmse Filter Abstract
Ultrasound imaging finds many applications in water environments. The water leakage milieu is considered in this study. However, the ultrasound images are contaminated by speckle noise which damages its quality. It complicates diagnosis and quantitative and visual measurements. In this work, the iterative minimum mean square error (IMMSE) method has been extended for de-speckling of ultrasound images. Therefore, by optimally setting the number of iterations, the IMMSE filtering approach outperforms traditional speckle filtering methods such as the mean, median and the improved Lee filters in speckle removal and edge preservation.
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