User Manual

Table Of Contents
Window Method (Sinc and Bessel Only)
Some filters, such as Sinc and Bessel, require an infinite number of pixels to calculate exactly.
To speed up this operation, a windowing function is used to approximate the filter and limit the
number of pixels required. This control appears when a filter that requires windowing
is selected.
Hanning: This is a simple tapered window.
Hamming: Hamming is a slightly tweaked version of Hanning that does not taper all the
way down to zero.
Blackman: A window with a more sharply tapered falloff.
Kaiser: A more complex window with results between Hamming and Blackman.
Most of these filters are useful only when making an image larger. When shrinking images, it is
common to use the Bi-Linear filter; however, the Catmull-Rom filter will apply some sharpening
to the results and may be useful for preserving detail when scaling down an image.
Example
Different resize filters. From left to right: Nearest Neighbor, Box, Linear, Quadratic,
Cubic, Catmull-Rom, Gaussian, Mitchell, Lanczos, Sinc, and Bessel.
Invert Transform
Select this control to invert any position, rotation, or scaling transformation. This option is useful
when connecting the Transform to the position of a tracker for the purpose of reintroducing
motion back into a stabilized image.
Flatten Transform
The Flatten Transform option prevents this node from concatenating its transformation with
adjacent nodes. The node may still concatenate transforms from its input, but it will not
concatenate its transformation with the node at its output.
Reference Size
The controls under the Reference Size menu do not directly affect the image. Instead they allow
you to control how Fusion represents the position of the Transform node’s center.
Normally, coordinates are represented as values between 0 and 1, where 1 is a distance equal
to the full width or height of the image. This allows for resolution independence, because you
can change the size of the image without having to change the value of the center.
One disadvantage to this approach is that it complicates making pixel-accurate adjustments to
an image. To demonstrate, imagine an image that is 100 x 100 pixels in size. To move the center
of the image to the right by 5 pixels, we would change the X value of the transform center from
0.5, 0.5 to 0.55, 0.5. We know the change must be 0.05 because 5/100 = 0.05.
The Reference Size controls allow you to specify the dimensions of the image. This changes the
way the control values are displayed, so that the Center shows the actual pixel positions in the
X and Y number fields of the Center control. Extending our example, if you set the Width and
Height to 100 each, the Center would now be shown as 50, 50, and we would move it 5 pixels
toward the right by entering 55, 50.
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