Detects and emphasizes high frequency information by removing low frequency information from the image. Low frequency information
is subtracted from the image by performing a Low Pass Filter and removing the results. Proportional amounts of the original
image can optionally be added back to the high frequency information.
Requires an Input (Any).
Produces an Output (Any).
Filter
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Determines the range of information treated as high frequency. Set any pixel value using the slider. The larger the Radius,
the greater the range of information that is treated as high frequency.
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Sets the proportion of the original image that is added back in. A Bias value of 1 means that the whole of the original image
is added back in. Set a value between 0 and 1 using the slider.
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Sets the emphasis given to the high frequency information. The pixel values of the high frequency information are multiplied
by the Effect Scale value; thus an Effect Scale of 3 will cause the high frequency information to appear three times as bright.
Set any value using the slider.
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Accuracy lets you change the range of samples used to approximate a Gaussian blur of a given radius. For high accuracy (e.g.,
90%) samples are taken over about twice the radius of the blur, while for the lowest accuracy (60%), samples are taken over
the radius of the blur.
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