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Speckle Noise Reduction in Fetal Ultrasound Images

机译:胎儿超声图像中的斑点噪声减少

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This research offers an innovative way to reduce the speckle noise which associated with the ultrasound imaging. This in turn leads to improving the input image and raise the human diagnostic performance. It uses an Undecimated Wavelet Transform UWT to decompose the image signal to the coefficients, to take the diagonal coefficient and applied Independent Directional Mask after replacing the value of each pixel in this coefficient with the corresponding pixel in the original image, this result yields after applying median filter in case the value of the pixel is smaller than the threshold value which is pre-specified. Then we apply the Smoothing Directional filter and re-directed the formation of the new diagonal coefficient, and then make the inverse undecimated wavelet transform IUWT to form the resulting image after reducing the noise of it (De-speckled Image). The used method showed a clear improvement on several ultrasound images via traditional statistical measurements (PSNR and MSE) and outperformed the other methods which used in common to reduce the speckle noise.
机译:这项研究提供了一种创新的方法来减少与超声成像相关的斑点噪声。这进而导致改善输入图像并提高人类诊断性能。它使用未抽取的小波变换UWT将图像信号分解为系数,在使用原始图像中的对应像素替换该系数中的每个像素的值之后,采用对角线系数并应用独立方向遮罩,得出的结果是在像素值小于预定阈值的情况下进行中值滤波。然后,我们应用“平滑方向滤波器”并重新定向新对角线系数的形成,然后在降低噪声后,进行未抽取的小波逆变换IUWT来形成结果图像(去斑点图像)。通过传统的统计测量(PSNR和MSE),所使用的方法在多个超声图像上显示出明显的改善,并且优于其他通常用于减少斑点噪声的方法。

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