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小波变换在图像去噪方面应用

于 2022-04-27 发布 文件大小:174.46 kB
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阈值去噪的基本思想:含有一定噪声的图像经过小波变换后,图像的主要信息都将集中在小波域的低频子带, 而(白)噪声是均匀地分布在所有的小波系数上的。当对小波域的高频子带的系数进行取舍时,应该主要去除 含有噪声的那些系数。对于高频子带,由于噪声统计上是均匀分布在小波系数中,因此可知少数绝对值较大的 重要的小波系数必然含有图像的重要奇异特性,保留重要系数舍去或减小绝对值小的不重要的系数,既可以减 小图像的噪声,又不会导致图像的边缘模糊。

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