A fast linear-time gaussian blur based on http://blog.ivank.net/fastest-gaussian-blur.html.

This implementation was based on https://github.com/fschutt/fastblur.

These functions in-place blur a given slice of (presumably) image data, with any number of channels and the given blur radius. Performance is roughly linear time, and uses a single allocation for a backing store, of the same size as the input slice.

Blur an RgbImage

fn blur_fast(rgb_image: &mut image::RgbImage, radius: f32) -> Result<(), blurslice::SliceSizeError> {
    let width = rgb_image.width() as usize;
    let height = rgb_image.height() as usize;
    let samples = rgb_image.as_flat_samples_mut();
    blurslice::gaussian_blur_bytes::<3>(samples.samples, width, height, radius)
}

• Support any number of channels via const generics
• No allocation for passes list generation, uses const generic stack array

• Support arbitrary stride, for over-aligned data or vertical image sub-slices
• Allow providing a backing store, to allow for zero-allocation execution