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I don't really have a good answer for you, but here are 2 options that you could try: in Computer Vision , this rescaling factor is usually handled by applying a Gaussian filter of width (in pixels … ) between 5 and 9. You can find the corresponding $\sigma$ of the Gaussian because the pixel width is classically equal to $3 \sigma$. if you are willing to do fine signal-sampling computations, then …
answered Mar 21 '13 by sansuiso
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dimension. Than what about a pyramid level of -1 (which should make the image bigger x 2.0) : with what gaussian filter should it be treated before upsampling ? You need to use image interpolation … techniques here. OpenCV uses (in optical flow methods) a gaussian upsampling by injecting $0$'s along the odd lines/columns then applying a gaussian blur. …
answered Mar 28 '14 by sansuiso
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The rightmost one (where you divide by the sum) ensures that the output of the filter wil have the same dynamic range as the input. Actually, the output blurred images are not the same because their …
answered Apr 10 '13 by sansuiso