Parent Topic: <A href="http://www.pcigeomatics.com/cgi-bin/pcihlp/M_FKUAN|ALGORITHM">ALGORITHM</a><hr>
<H4>KUAN FILTER</H4>
Kuan filter first transforms the multiplicative noise model into a
signal-dependent additive noise model.  Then the minimum mean square
error criterion is applied to the model.  The resulting filter
has the same form as the Lee filter but with a different weighting
function.  Because Kuan filter made no approximation to the original
model, it can be considered to be superior to the Lee filter.<p>
The resulting grey-level value R for the smoothed pixel is:
<P>
<PRE>
        R  =   Ic * W + Im * (1 - W)
</PRE>
where:
<P>
<PRE>
       W   =   (1 - Cu^2/Ci^2)/(1+Cu^2)
       Cu  =   SQRT(1/NumberLooks)
       Ci  =   S / Im
       Ic  =   center pixel in filter window
       Im  =   mean value of intensity within window
       S   =   standard deviation of intensity within window
</PRE>
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Parent Topic: <A href="http://www.pcigeomatics.com/cgi-bin/pcihlp/M_FKUAN|ALGORITHM">ALGORITHM</a><br>
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