How to get the convolution output of an Image with the given filter/Kernel
// in, out are m x n images (integer data)
// K is the kernel size (KxK) - currently needs to be an odd number, e.g. 3
// coeffs[K][K] is a 2D array of integer coefficients
// scale is a scaling factor to normalise the filter gain
for (i = K / 2; i < m - K / 2; ++i) // iterate through image
{
for (j = K / 2; j < n - K / 2; ++j)
{
int sum = 0; // sum will be the sum of input data * coeff terms
for (ii = - K / 2; ii <= K / 2; ++ii) // iterate over kernel
{
for (jj = - K / 2; jj <= K / 2; ++jj)
{
int data = in[i + ii][j +jj];
int coeff = coeffs[ii + K / 2][jj + K / 2];
sum += data * coeff;
}
}
out[i][j] = sum; //if normalization needed then divide sum by N or factor.
}
}
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