Filter Node

Filter Node.

The Filter node implements various common image enhancement filters.

入力

Factor(係数)

ノードが出力画像に与える影響の量をコントロールします。

Image(画像)

標準のカラー入力です。

Properties(プロパティ)

Type(タイプ)

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(影)

Performs a relief, emboss effect, darkening outside edges.

出力

Image(画像)

標準のカラー出力です。

The Filter node has eight modes, shown here.
../../../_images/compositing_types_filter_filter-node_example-1-original.png

Original image.

../../../_images/compositing_types_filter_filter-node_example-2-soften.png

Soften.

../../../_images/compositing_types_filter_filter-node_example-3-box-sharpen.png

Box Sharpen.

../../../_images/compositing_types_filter_filter-node_example-4-diamond-sharpen.png

Diamond Sharpen.

../../../_images/compositing_types_filter_filter-node_example-5-laplace.png

Laplace.

../../../_images/compositing_types_filter_filter-node_example-6-sobel.png

Sobel.

../../../_images/compositing_types_filter_filter-node_example-7-prewitt.png

Prewitt.

../../../_images/compositing_types_filter_filter-node_example-8-kirsch.png

Kirsch.

../../../_images/compositing_types_filter_filter-node_example-9-shadow.png

Shadow.