基于增量迭代的超声成像去斑点滤波器性能比较

Ankur Bhardwaj, Sanmukh Kaur, A. P. Shukla, M. Shukla
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引用次数: 2

摘要

散斑噪声是一种会降低图像质量的乘法噪声。它是在超声成像中发现的。去除斑点总是在噪声抑制和信息丢失之间权衡,专家们对此非常关注。因此,我们希望尽可能多地保留重要信息。在本文中,我们试图找到多次迭代任何滤波器去除图像中的斑点噪声的效果。结果非常有用,表明一些过滤器的行为是突然的,并且在较低的迭代中给出较高的值,而不是显示出一定的稳定性,并且其值再次增加。本文试图通过增加迭代来展示不同滤波器对去除超声图像散斑噪声的影响。
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Performance Comparison of De-speckling filters on the Basis of Incremental Iteration in Ultrasound Imaging
Speckle noise is a multiplicative noise that degrades image quality. It is inherently found in ultrasound imaging. Removing spots always trades between noise suppression and loss of information, and experts are very concerned about this. Therefore, we hope to retain as much important information as possible. Here in this paper we tried to find the effect of multiple iteration of any filter to remove the speckle noise from the image. The results are very informative which showed that some filters behave abruptly and gives higher values for lower iteration than showed some stability and again its values increased. The paper tried to show the impact of different filters by increment of iterations during removal of speckle noise from the ultrasound imaging.
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