Black borders often appear on images as a result of capturing them on scanners with black belts or drums, such as the Kodak ImageLink or Bell+Howell Copiscan II scanners. If black borders exist on your images, you can remove them with the black border removal feature.
To remove a black border, the software starts at the outer left and right edges of the image and works inward turning black pixels into white until it detects a white pixel. As soon as it detects a white pixel, the software determines whether the white pixel is part of white noise in the border or the edge of the image.
White noise can be any white pixel or series of white pixels in the black border as shown in the figure below. The software uses the White Noise Gap value to determine the maximum number of consecutive white pixels to be ignored within the black border.
If a series of white pixels in the black border is less than or equal to the White Noise Gap value, it is considered white noise. The white noise is ignored, and the black border removal process continues.
If the number of consecutive white pixels is greater than the White Noise Gap value, it is considered the end of the border and the black border removal process stops.
For best results, set the White Noise Gap to a large enough value to remove the entire black border. Setting White Noise Gap too low prematurely stops the black border removal process.