Image filtering using kernel matrix

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I was going through the algorithm of a image sharpening method. They used the kernel matrix which is basically
1st row --(0,-1,0)
2nd row--- (-1,5,0)
3rd row----(0,-1,0)

They didnot give me the explanation about how it is used on an image.So, can anyone explain me a bit about it? Thanks

Posted 12-Jul-14 7:13am

Surajit Das

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nv3 · Answer 1 · 2014-07-13T02:54:00

This is what is usually called a convolution. See: http://williamson-labs.com/convolution-2d.htm[^] for a detailed description.

The given kernel is a combination of a low pass filter and an identify kernel (with multiplier 5). That results in a high pass filter, which can be used as image sharpening filter.

By the way, the second row of your kernel should probably read (-1, 5, -1)!