3D Noise Adaptive Wiener Filtering of Images

I. Draganov, R. Mironov
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Abstract

In this paper a new technique is presented for 3D noise adaptive filtering of images containing additive white Gaussian noise on the basis of the Wiener filter. It uses preliminary estimation of the noise variance from unknown set of input images which relies on statistical analysis of the relatively homogenous areas in them. Its application may turn useful for industrial applications involving multispectral, CT, MRI and other types of images.
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图像的三维噪声自适应维纳滤波
本文在维纳滤波的基础上,提出了一种对含有加性高斯白噪声的图像进行三维噪声自适应滤波的新方法。它通过对输入图像中相对均匀区域的统计分析来初步估计未知图像的噪声方差。它的应用可能会对涉及多光谱、CT、MRI和其他类型图像的工业应用有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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