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A convolution
operation is a cross-correlation
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where
the filter is flipped both horizontally and
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vertically
before being applied to the image:
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It is written:
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Suppose
H is a Gaussian or mean kernel. How
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does
convolution differ from cross-correlation?
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Suppose
F is an impulse function (previous slide)
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What
will G look like?
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