| Cross-correlation
filtering |
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| Let’s
write this down as an equation.
Assume the |
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| averaging
window is (2k+1)x(2k+1): |
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| We can
generalize this idea by allowing different |
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| weights
for different neighboring pixels: |
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| This is
called a cross-correlation operation and |
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| written: |
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| H is
called the “filter,” “kernel,” or “mask.” |
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| The
above allows negative filter indices.
When |
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| you
implement need to use: H[u+k,v+k]
instead of |
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| H[u,v] |
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