双边滤波作为一种具有边缘保持特性的图像平滑工具

Sanun Srisuk
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引用次数: 18

摘要

本文综述了双边滤波作为一种具有边缘保持特性的图像平滑工具的研究进展。双边过滤是域过滤和范围过滤的结合。域滤波测量邻域中心和邻近点之间的几何紧密度。因此,域滤波就像高斯滤波一样。在距离滤波中,测量两个像素之间的相似性,其中相似的像素值加权为高影响,而丢弃不相似的像素值。本文对传统的双边滤波技术进行了综述。我们还描述了一种基于模糊隶属函数的改进双边滤波,即模糊双边滤波。在模糊双边滤波中,在保持边缘和非皮肤区域的同时,对皮肤进行了平滑处理,从而获得了更加美观的人脸图像。我们将展示一些它的应用,特别是在皮肤光滑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bilateral filtering as a tool for image smoothing with edge preserving properties
In this paper, we give a review on Bilateral filtering as a tool for image smoothing with edge preserving properties. Bilateral filtering is a combination of domain and range filtering. Domain filtering measures the geometric closeness between the neighborhood center and nearby points. Therefore, domain filtering acts as a gaussian filtering. In range filtering, the similarity between two pixels are measured in which similar pixel values are weighted as a high influence while discarding dissimilar ones. We give a review on traditional bilateral filtering. We also describe a modified bilateral filtering based on fuzzy membership function, the fuzzy bilateral filtering. In fuzzy bilateral filtering, the skin is smoothed while maintaining the edges and non skin area, therefore, a more beautiful face image can be achieved. We will demonstrate some of its applications especially on skin smoothing.
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