Issue No. 08 - August (2011 vol. 17)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2010.238
Ares Lagae , Katholieke Universiteit Leuven, Heverlee and REVES/INRIA Sophia-Antipolis
Sylvain Lefebvre , REVES/INRIA Sophia-Antipolis and ALICE/INRIA Nancy, Nancy
Philip Dutré , Katholieke Universiteit Leuven, Heverlee
We have recently proposed a new procedural noise function, Gabor noise, which offers a combination of properties not found in the existing noise functions. In this paper, we present three significant improvements to Gabor noise: 1) an isotropic kernel for Gabor noise, which speeds up isotropic Gabor noise with a factor of roughly two, 2) an error analysis of Gabor noise, which relates the kernel truncation radius to the relative error of the noise, and 3) spatially varying Gabor noise, which enables spatial variation of all noise parameters. These improvements make Gabor noise an even more attractive alternative for the existing noise functions.
Procedural noise, sparse convolution noise, Gabor noise, isotropic Gabor kernel, circular Gabor filter, Hankel transform, circularly symmetric functions, Gabor noise error analysis, spatially varying Gabor noise.
A. Lagae, S. Lefebvre and P. Dutré, "Improving Gabor Noise," in IEEE Transactions on Visualization & Computer Graphics, vol. 17, no. , pp. 1096-1107, 2010.