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从单张图片估计噪声

链接:https://www.cnblogs.com/Imageshop/p/17021471.html

Halcon 中的 estmate_noise 函数,可以从单帧估计高斯噪声。当使用最推荐的方法 immerkaer,它的实现是这样的:

\[ M = \left| \begin{matrix} 1& -2& 1\\ -2& 4& -2\\ 1& -2& 1\\ \end{matrix} \right| \]
\[ \sigma = \sqrt{\frac{\pi}{2}} \frac{1}{6N} \sum_{i,j} |image * M| \]

其中 N 是像素个数。

这里 M 的好处:The advantage of this method is that M is almost insensitive to image structure but only depends on the noise in the image. Assuming a Gaussian distributed noise, its standard deviation is finally obtained as

说是对图像结构不敏感,只依赖图片噪声。总之偶尔用用即可。要严格标定的话还是要走严格流程。

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