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Box Blur

Applies a box blur effect on a static noise.

The principle of the box blur is to compute a new value for each pixel of an image, using the average value of the surrounding pixels. The window of surrounding pixels, used to compute the mean value, is named the kernel. The kernel size is the size of this window.

Node inputs/outputs

The post-process parameter is:

  • Kernel size: the size of the window of values, used for the blur effects. The maximum number of pixels used to compute the mean value is the square value of kernel size.
  • Module: the static module that will be processed

The output value is a Static Module.

Examples

Box blur applied on a rasterized Checkerboard

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