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Kernel (image processing)

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In Image processing, a kernel is (usually) a small square matrix used for smoothing or sharpening purposes. This is done by calculating the convolution between an image and a kernel.

A kernel is created by defining weights of neighbor pixels to a center pixel. The product of weights and pixel values are then summed up to find the new value of the center pixel.

References

* Ludwig, Jamie (n.d.), "Image Convolution". Portland State University. http://web.pdx.edu/~jduh/courses/Archive/geog481w07/Students/Ludwig_ImageConvolution.pdf
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