混合型双边滤波器

Sara Behjat-Jamal, R. Demirci, Taymaz Rahkar-Farshi
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引用次数: 2

摘要

到目前为止,已经发展了各种各样的图像降噪方法。大多数算法都能成功去除噪声,但边缘保持能力较弱。因此,双边图像滤波有助于解决这一问题。然而,它们的性能取决于用户选择的空间和光度参数。传统上,几何权重是通过相邻像素的距离计算的,光度权重是通过相邻像素的颜色分量计算的。权重的范围在0到1之间。本文采用模糊度量法估计几何权重,采用基于模糊规则的系统估计光度权重,不需要任何预定义参数。文中给出了传统的模糊双边滤波和该方法的实验结果。
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Hybrid bilateral filter
A variety of methods for images noise reduction has been developed so far. Most of them successfully remove noise but their edge preserving capabilities are weak. Therefore bilateral image filter is helpful to deal with this problem. Nevertheless, their performances depend on spatial and photometric parameters which are chosen by user. Conventionally, the geometric weight is calculated by means of distance of neighboring pixels and the photometric weight is calculated by means of color components of neighboring pixels. The range of weights is between zero and one. In this paper, geometric weights are estimated by fuzzy metrics and photometric weights are estimated by using fuzzy rule based system which does not require any predefined parameter. Experimental results of conventional, fuzzy bilateral filter and proposed approach have been included.
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