Issue No. 09 - September (2000 vol. 22)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.877526
<p><b>Abstract</b>—We study implementation issues for spatial convolution filters and their Fourier alternative, with the aim to optimize the accuracy of filter output. We focus on Gaussian scale-space filters and show that there exists a trade-off scale that subdivides the available scale range into two subintervals of equal length. Below this trade-off scale Fourier filtering yields more accurate results than spatial filtering; above it is the other way around. This should be contrasted with demands of computational speed, which show the opposite tenet.</p>
Scale-space filtering, temporal versus frequency aliasing, time-frequency trade-off scale.
L. Florack, "A Spatio-Frequency Trade-Off Scale for Scale-Space Filtering," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 22, no. , pp. 1050-1055, 2000.