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<h1>Median Filter</h1>

<h2>Purpose</h2>
This filter is used when you want to reduce random pixelized noise, i.e. noise that does not have a specific multipixel pattern.

<h2>Brief explanation of the algorithm</h2>
Taking a 3x3 pixel matrix, the algorithm calculates the statistical median of the values.<br>
Example:<br>
'10 20 40'<br>
'20 35 30'<br>
'23 33 44'<br>

The median of those value is 30, so the value 30 is substituted to the one of the central pixel. The output matrix is:<br>
<br>
'10 20 40'<br>
'20 30 30'<br>
'23 33 44'<br>

<h1>Minimum Filter</h1>

<h2>Purpose</h2>
This filter has a similar behaviour with respect to the Median Filter, but producing a somewhat darker output. It is useful when you know that random pixel noise is made of brighter pixels than the surroundings.

<h2>Brief explanation of the algorithm</h2>
Taking a 3x3 pixel matrix, the algorithm calculates the statistical minimum of the values.<br>
Example:<br>
'10 20 40'<br>
'20 35 30'<br>
'23 33 44'<br>

The minimum of those value is 10, so the value 10 is substituted to the one of the central pixel. The output matrix is:<br>
<br>
'10 20 40'<br>
'20 10 30'<br>
'23 33 44'<br>


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