Talk:Image convolution: Difference between revisions

I don't know if this is common knowledge that I'm missing, but maybe the task should specify how to handle the border pixels. I think the standard method is padding the image with zeroes (or something of that equivalence) so that the convolution can be taken on all pixels. Some functions, like edge-detection, are benefited from the zero-padding. Others, like smoothing or blurring, are benefited more by not padding and not taking the convolution on the border pixels,. orMaybe the kernal matrix could be adapted on a step-by-step doingbasis some(at kindleast offor partialthe convolutionborder usingpixels) onlyto still process the border, but normalize the weight of the valid pixels that will be processed (e.g. if on left edge and ker = [0.25 0.5 0.25] the kernal will be adjusted to [0 0.666 0.333] before taking convolution of those pixels).