Computing Large Kernel Convolutions of Images

Cover Computing Large Kernel Convolutions of Images
Computing Large Kernel Convolutions of Images
Robert a Hummel
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A one-dimensional Gaussian, with a=1. 0. Dots mark point evaluates of the Gaussian at each integer. The heights of the bars in the bar graph give the mean values of the Gaussian in a block of width 1 centered at each integer.
Sum should substitute for that pixel the value of the closest pixel in the grid V.
Thus, for example, suppose that V consists of the rectangular array of pixels {(ij) I S / s 511,

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