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NLMD

于 2020-08-18 发布 文件大小:2KB
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代码说明:

  利用非局部均值的算法对图像做去噪,速度比较快,但效果一般,存在一定局限性(Using non-local mean algorithm to denoise image is faster, but the effect is general and there are some limitations.)

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    首先生成如下形式的图片:图中的白条为7象素宽,210象素高,白条间的宽度为17象素。 应用多种滤波器进行处理:算术均值,几何均值,谐波均值,逆谐波均值,中值滤波,中点滤波,最大值、最小值滤波等。注意,需改变模板大小。详细比较上述的结果,并分析原因。 (First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)
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