IMAGE PROCESSING
Image Processing
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Last Modified: |
Seperability
A kernel k
is seperable if and only if all of it’s rows are multiples of each other. Intuitivly, this means you can pick any row l
and then make a column of mulitplicative factors g
, so that:
$$ \mathbf{K} = \vec{f} \cross \vec{g} $$

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