User Manual

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Registration: Registration allows you to correct for mis-registrations of images
caused by filter-induced optical shifts. Use the directional keys to shift the selected
image in the x- and/or y- direction, with respect to the rest of the input images. One
click moves that channel one pixel in the direction indicated. Blank areas are filled
with black. The key labeled “0,0” will re-center the selected image.
The registration shift for the selected channel or the overall image is displayed in the
static text box below the directional keys.
Contrast: Use the BCG sliders along with the Best Fit and Reset buttons to adjust the
contrast of the selected image or the composite.
BCG sliders: The Brightness, Contrast, and Gamma sliders are the similar to the
Contrast Enhancement feature in ToupView. You can also adjust each channel
individually or collectively by using the Selected or All radio buttons (to the left of the
BCG sliders in the Adjust group box).
Best Fit: Click this button to perform a Best-Fit contrast stretch on the selected input,
automatically setting the Brightness and Contrast settings accordingly (Gamma will
be reset to 50.). This method is identical to the Best Fit contrast adjustment under
the standard Contrast Enhancement feature of ToupView. Best Fit is useful for first
pass adjustments.
Reset: Pressing the Reset button automatically resets the BCG settings. If the Adjust
radio button is set on All, the BCG settings for the overall color image will be reset.
Frame: Use the frame slider to adjust the frame of the selected image that is used for
the preview, or the active frame of the composite. (Please see the discussion of Color
Composite and Image Sequences that follows this section.)
Background: Select one of the available images to be the background color in this
combo box. The rest of the image planes are subtracted from the background image
— effectively punching “holes” into it and allowing the foreground colors to show
without mixing with the background. This is most effective where the background
covers large areas and the other images have smaller objects within the background
objects.