how can a matlab code be written for identification of noise using statistical features like kurtosis and skewness?

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Pyla Sahitya
Pyla Sahitya 2015-2-17
回答： S C.Carl 2016-6-29
noise identification in images using statistical features like kurtosis and skewness

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Image Analyst
Image Analyst 2015-2-17
Try this: http://www.mathworks.com/matlabcentral/answers/8026-best-way-s-to-master-matlab
Skewness can indicate possible noise if the distribution of normal, noise-free pixels is known to be Gaussian. However that is often not the case and so skewness I don't think will be useful in general. There's even a less likely case that can be made for kurtosis. Even noise-free images could have a non-zero skewness and kurtosis, so what does that tell you?
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Image Analyst
Image Analyst 2015-2-17
Attached is code for computing skewness and kurtosis. Please show me how you're finding noise using them, because, like I said, in general I don't think you can. Take an image (a real image like a snapshot) that's defined to be noise free, then compute skewness and kurtosis. Then add more noise to only some of the pixels. Then computer skewness and kurtosis on this noisy image. Now, find the pixels that had noise added to them. I'd like to see your findings. Or take some arbitrary image where you have no noise-free reference for. Now tell me if there's noise in it or not based on the skewness and kurtosis values.

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S C.Carl
S C.Carl 2016-6-29
I have the same question. How to identify noise in an image ?
Dear Image Anaylst, could you please send me the application to identify noise pattern with skewness and kurtosis, if you have
Dear Pyla, could you please share the codes help me to solve this problem. I have the same problem with you now :(

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