convolution function

Image convolution(
  1. Image src,
  2. List<num> filter,
  3. {num div = 1.0,
  4. num offset = 0.0}
)

Apply a 3x3 convolution filter to the src image. filter should be a list of 9 numbers.

The rgb channels will be divided by filterDiv and add offset, allowing filters to normalize and offset the filtered pixel value.

Implementation

Image convolution(Image src, List<num> filter,
    {num div = 1.0, num offset = 0.0}) {
  final tmp = Image.from(src);

  for (var y = 0; y < src.height; ++y) {
    for (var x = 0; x < src.width; ++x) {
      final c = tmp.getPixel(x, y);
      num r = 0.0;
      num g = 0.0;
      num b = 0.0;
      final a = getAlpha(c);
      for (var j = 0, fi = 0; j < 3; ++j) {
        final yv = min(max(y - 1 + j, 0), src.height - 1);
        for (var i = 0; i < 3; ++i, ++fi) {
          final xv = min(max(x - 1 + i, 0), src.width - 1);
          final c2 = tmp.getPixel(xv, yv);
          r += getRed(c2) * filter[fi];
          g += getGreen(c2) * filter[fi];
          b += getBlue(c2) * filter[fi];
        }
      }

      r = (r / div) + offset;
      g = (g / div) + offset;
      b = (b / div) + offset;

      r = (r > 255.0) ? 255.0 : ((r < 0.0) ? 0.0 : r);
      g = (g > 255.0) ? 255.0 : ((g < 0.0) ? 0.0 : g);
      b = (b > 255.0) ? 255.0 : ((b < 0.0) ? 0.0 : b);

      src.setPixel(x, y, getColor(r.toInt(), g.toInt(), b.toInt(), a));
    }
  }

  return src;
}