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Diffusion Grayscale
In: Filters/Effects
Intermediate
Description
Apply a diffusion process to the values in Source image input according to the provided Mask image input, creating smooth gradations between values.
Only values from pixels matching the mask are diffused; other pixels don't participate in the result.
Parameters
- Iterations: 0.0 - 64.0
The number of diffusion iterations to perform (higher is better but slower). Useful values are in the [8, 48] range.
Please note that if you are not looking for mathematical correctness, low values are fine or even better.
Distance: 0.0 - 1.0
Adjusts the maximum distance of the diffusion. - Enable Dithering: True/False
Controls the sampling method of each pass. Dithering allows convergence in less passes, but introduces noise.
Without it, each pass is faster but more passes are required to achieve a smooth result without banding artifacts.
Inputs
- Source Grayscale
The image to diffuse. Mask Grayscale
Diffusion mask: white pixels are sampled in Source and diffused in black pixels. The image should be black and white. If the mask includes gradients, the cutoff value is 0.5.- Intensity Grayscale
Defines locally how strong the diffusion process is applied. This map should be contrasted for a noticeable effect.
Example Images