public static void convolve3(Kernel2D_I32 kernel, ImageSInt16 src, ImageInt16 dest, int divisor) {
final short[] dataSrc = src.data;
final short[] dataDst = dest.data;
final int width = src.getWidth();
final int height = src.getHeight();
final int halfDivisor = divisor / 2;
final int kernelRadius = kernel.getRadius();
final int totalRow[] = new int[width];
for (int y = kernelRadius; y < height - kernelRadius; y++) {
// first time through the value needs to be set
int k1 = kernel.data[0];
int k2 = kernel.data[1];
int k3 = kernel.data[2];
int indexSrcRow = src.startIndex + (y - kernelRadius) * src.stride - kernelRadius;
for (int x = kernelRadius; x < width - kernelRadius; x++) {
int indexSrc = indexSrcRow + x;
int total = 0;
total += (dataSrc[indexSrc++]) * k1;
total += (dataSrc[indexSrc++]) * k2;
total += (dataSrc[indexSrc]) * k3;
totalRow[x] = total;
}
// rest of the convolution rows are an addition
for (int i = 1; i < 3; i++) {
indexSrcRow = src.startIndex + (y + i - kernelRadius) * src.stride - kernelRadius;
k1 = kernel.data[i * 3 + 0];
k2 = kernel.data[i * 3 + 1];
k3 = kernel.data[i * 3 + 2];
for (int x = kernelRadius; x < width - kernelRadius; x++) {
int indexSrc = indexSrcRow + x;
int total = 0;
total += (dataSrc[indexSrc++]) * k1;
total += (dataSrc[indexSrc++]) * k2;
total += (dataSrc[indexSrc]) * k3;
totalRow[x] += total;
}
}
int indexDst = dest.startIndex + y * dest.stride + kernelRadius;
for (int x = kernelRadius; x < width - kernelRadius; x++) {
dataDst[indexDst++] = (short) ((totalRow[x] + halfDivisor) / divisor);
}
}
}
public static int convolve(Kernel2D_I32 kernel, ImageBorder_S32 input, int x, int y) {
final int r = kernel.getRadius();
final int w = kernel.getWidth();
int total = 0;
for (int i = 0; i < w; i++) {
for (int j = 0; j < w; j++) {
total += input.get(x + j - r, y + i - r) * kernel.get(i, j);
}
}
return total;
}
