From Wikipedia:
(The sharpening filter) is obtained by taking the identity kernel and subtracting an edge detection kernel
Can someone explain to be how is that the case.As for as I understand it, to achieve a sharpening image, you take the original image and add high-contrast edges to it.They even take the example of the matrix:
Should the matrix
0 -1 0-1 4 -10 -1 0be the edge detection kernel, according to another Wikipedia article? So, the math should be adding, not subtracting.
Anyway, I am a bit confused here and could use some help. Thank you!