Function vizia::vg::image_filters::matrix_convolution

pub fn matrix_convolution(
    kernel_size: impl Into<ISize>,
    kernel: &[f32],
    gain: f32,
    bias: f32,
    kernel_offset: impl Into<IPoint>,
    tile_mode: SkTileMode,
    convolve_alpha: bool,
    input: impl Into<Option<RCHandle<SkImageFilter>>>,
    crop_rect: impl Into<CropRect>,
) -> Option<RCHandle<SkImageFilter>>

Create a filter that applies an NxM image processing kernel to the input image. This can be used to produce effects such as sharpening, blurring, edge detection, etc.

• kernel_size - The kernel size in pixels, in each dimension (N by M).
• kernel - The image processing kernel. Must contain N * M elements, in row order.
• gain - A scale factor applied to each pixel after convolution. This can be used to normalize the kernel, if it does not already sum to 1.
• bias - A bias factor added to each pixel after convolution.
• kernel_offset - An offset applied to each pixel coordinate before convolution. This can be used to center the kernel over the image (e.g., a 3x3 kernel should have an offset of {1, 1}).
• tile_mode - How accesses outside the image are treated.
• convolve_alpha - If true, all channels are convolved. If false, only the RGB channels are convolved, and alpha is copied from the source image.
• input - The input image filter, if null the source bitmap is used instead.
• crop_rect - Optional rectangle to which the output processing will be limited.