Re: probability density function




"Nasser Abbasi" <nma@xxxxxxxxx> wrote in message
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"Anish Goorah" <anish.goorah@xxxxxxxxxxxxx> wrote in message
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Not sure I understand what you are asking but if each
marginal distribution (s1,s2) are gaussian, then the only
feasible choice would be a multivariate normal
distribution. The mean and covariance matrices should be
the only parameters you would need to define the
multivariate normal distribution.





I do not see how 2 different image pixels would be dependent on each
others? How would that occur? How knowing pixel values of one image gives
information about pixel values of the second?

I just thought of something. If the second image was created from the first
image by some sort of filtering/transformation process. So the second pdf
would not be independent of the first.



.



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