Maybe it would help to have a general explanation of the principle behind the filter.
The basic idea of the Unsharp Mask is to enhance the difference between the original image and a blurred version of it. The algorithm first blurs the image, then calculates the difference between the original image and the blurred version, and then alters the original image by moving each pixel farther away from its blurred value. The convolution is simply a way of blurring the image. There are countless ways of doing a blur -- the filter is using a rather crude approximation of a Gaussian blur, which is the most commonly used blurring algorithm. -- Bill
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