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Quantum Noise Suppression in X-ray Images using Fuzzy 2-D Wiener Filter

机译:使用模糊二维维纳滤波器抑制X射线图像中的量子噪声

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The noisy images are caused by decreasing quantity of the produced X-ray due to the deformation of the X-ray tube’s anode. While obtaining the image from low quantity X-ray, shot noise or quantum noise occurs, and this decreases the quality of the image. The aim of this study is to define the novel method called as Fuzzy 2-D Weiner filter (FWF-2D), which suppresses the shot noise from noisy image by avoiding any harm to the image details. With this filtering technique, it is possible to preserve the sharp-edge and the details of the image without any damage during suppressing the noise from images. FWF-2D is one of the best techniques to suppress the corrupted quantum noises due to damaged X-ray tube. The fuzzy rules used in this filter are aimed to distinguish noise pixels from image ones, and the Wiener Filter is working to remove noise pixels distinguished by these fuzzy rules. It is then possible to obtain clean images from damaged X-ray tubes by using FWF-2D technique.
机译:噪声图像是由于X射线管阳极变形而导致产生的X射线数量减少所致。从少量的X射线获得图像时,会产生散粒噪声或量子噪声,这会降低图像质量。这项研究的目的是定义一种称为模糊2-D维纳滤波器(FWF-2D)的新颖方法,该方法通过避免对图像细节造成损害来抑制噪声图像中的散粒噪声。使用这种滤波技术,可以在抑制图像噪声的过程中保留图像的锐利边缘和细节,而不会造成任何损坏。 FWF-2D是抑制由于损坏的X射线管而导致的量子噪声破坏的最佳技术之一。该过滤器中使用的模糊规则旨在从图像像素中区分出噪声像素,而维纳滤波器正在努力消除由这些模糊规则所区分的噪声像素。然后可以使用FWF-2D技术从损坏的X射线管中获取清晰的图像。

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