We often write I = B*I to represent the convolution of
I by B. B is referred to as the kernel of the convolution (or sometimes the stencil in the discrete case).
Note convolution is
Associative
Commutative
Linear
We are using a discrete
convolution; we will see this is not
always consistent with an underlying continuous convolution that we may wish to implement
Convolution is formally defined on unbounded images and kernels.
padding schemes:
pad with zeros (same size vs. full size)
compute only legal values