Inside the Transformation tool dialog, you will find eight tools to modify the presentation of the image or the presentation of an element of the image, selection, layer or path. Each transform tool has an Option dialog and an Information dialog to set parameters.
Some options are shared by several transform tools. We will describe them here. More specific options will be described with their tool.
GIMP offers you three buttons which let you select which image element the transform tool will work on.
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Opomba |
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Remember that the Transform option persists when you quit the tool. |
When you activate the first button
the tool works on the active layer. If no selection exists in
this layer, the whole layer will be transformed.
When you activate the second button
the tool works on the selection contour only (the whole layer
contour if no selection).
When you activate the third button,
the tool works on the path only.
This option sets which way or direction a layer is transformed:
The “Normal (Forward)” mode will transform the image or layer as one might expect. You just use the handles to perform the transformation you want. If you use a grid (see below), the image or layer is transformed according to the shape and position you put the grid into.
“Corrective (Backward)” inverts the direction. Primarily used with the Rotation tool to repair digital images that have some geometric errors (a horizon not horizontal, a wall not vertical...). See Razdelek 4.5, “Rotate”.
With GIMP-2.10.10, you can link these two options in Rotate, Scale, Perspective, Unified transform and Handle transform tools. This allows moving handles without affecting the transformation, letting you manually readjust their position.
This drop-down list lets you choose the method and thus the quality of the transformation:
The color of each pixel is copied from its closest neighboring pixel in the original image. This often results in aliasing (the “stair-step” effect) and a coarse image, but it is the fastest method. Sometimes this method is called “Nearest Neighbor”.
The color of each pixel is computed as the average color of the four closest pixels in the original image. This gives a satisfactory result for most images and is a good compromise between speed and quality. Sometimes this method is called “Bilinear”.
The color of ea