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Novel Approach to Noise Reduction in Ultrasound Images Based on Geodesic Paths

机译:基于测地路径的超声图像降噪探讨

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In this paper a new method of multiplicative noise reduction in ultrasound images is proposed. The novel technique is a modification of the bilateral denosing scheme, which takes into account the similarity of pixels and their spatial distance. The filter output is calculated as a weighted average of the pixels which are in the neighborhood relation with the center of the filtering window, and the weights are functions of the minimal connection costs between surounding pixels. Experimental results show that the proposed method yields significantly better results than the other techniques in case of ultrasound images contaminated by medium and strong multiplicative noise disturbances.
机译:本文提出了一种新的超声图像乘法降噪方法。新颖的技术是双边一种低辐射方案的修改,这考虑了像素的相似性及其空间距离。滤波器输出被计算为与滤波窗口中心的邻域关系中的像素的加权平均值,并且权重是Surounding像素之间的最小连接成本的功能。实验结果表明,该方法的结果明显优于由中等和强乘法噪声干扰污染的超声图像的其他技术。

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