gaussianBlur function

Image gaussianBlur (
  1. Image src,
  2. int radius
)

Apply gaussian blur to the src image. radius determines how many pixels away from the current pixel should contribute to the blur, where 0 is no blur and the larger the radius, the stronger the blur.

Implementation

Image gaussianBlur(Image src, int radius) {
  if (radius <= 0) {
    return src;
  }

  SeparableKernel kernel;

  if (_gaussianKernelCache.containsKey(radius)) {
    kernel = _gaussianKernelCache[radius];
  } else {
    // Compute coefficients
    num sigma = radius * (2.0 / 3.0);
    num s = 2.0 * sigma * sigma;

    kernel = SeparableKernel(radius);

    num sum = 0.0;
    for (var x = -radius; x <= radius; ++x) {
      num c = exp(-(x * x) / s);
      sum += c;
      kernel[x + radius] = c;
    }
    // Normalize the coefficients
    kernel.scaleCoefficients(1.0 / sum);

    // Cache the kernel for this radius so we don't have to recompute it
    // next time.
    _gaussianKernelCache[radius] = kernel;
  }

  return separableConvolution(src, kernel);
}