# what the mean and median filters with an n x n kernel (neighborhood) do to the grey-levels of the image? [closed]

• sorry i haven't found a good title for these three questions i'm wondering if someone could give me explaination with proof (if possible ) of these three questions :

1. Given a grey-level image stored as a rectangular array of grey-level values, describe what the mean and median filters with an n x n kernel (neighborhood) do to the grey-levels of the image?
2. Describe the visual effect on an image of the mean and median filters. What happens when the size n of the neighborhood increases ?
3. Explain what are Gaussian noise and salt-and-pepper noise. Which type of filter is suitable for removing each type of noise ?

## closed as unclear what you're asking by Evil, David Richerby, Discrete lizard♦Feb 26 at 18:33

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