Filter Node

The Filter node implements various common image enhancement filters.

Inputs

Factor: Controls the amount of influence the node exerts on the output image.
Image: Standard color input.

Properties

Type

The Soften, Laplace, Sobel, Prewitt and Kirsch all perform edge detection (in slightly different ways) based on vector calculus and set theory equations.

Soften: Slightly blurs the image.
Box Sharpen: Increases the contrast, especially at edges.
Diamond Sharpen: Less aggressive than box sharpen, reducing sharpening artifacts.
Laplace: Edge highlighting filter susceptible to highlighting visual noise.
Sobel: Creates a negative image that highlights edges.
Prewitt: Produces a similar results to Sobel.
Kirsch: Gives better blending than Sobel or Prewitt, when approaching an edge.
Shadow: Performs a relief, emboss effect, darkening outside edges.

Outputs

Image: Standard color output.

Example

The Filter node has eight modes, shown here.
Original image.	Soften.
Box Sharpen.	Diamond Sharpen.
Laplace.	Sobel.
Prewitt.	Kirsch.
Shadow.