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Improving Gabor Noise

Ares Lagae 1 Sylvain Lefebvre 2, 3 Philip Dutre 1
2 ALICE - Geometry and Lighting
LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry, Inria Nancy - Grand Est
3 REVES - Rendering and virtual environments with sound
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : We have recently proposed a new procedural noise function, Gabor noise, which offers a combination of properties not found in 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 existing noise functions.
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Ares Lagae, Sylvain Lefebvre, Philip Dutre. Improving Gabor Noise. IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2011, 17 (8), pp.1096-1107. ⟨10.1109/TVCG.2010.238.⟩. ⟨hal-01062522⟩

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