Gabor Noise by Example

Bruno Galerne 1 Ares Lagae 2 Sylvain Lefebvre 3 George Drettakis 4
3 ALICE - Geometry and Lighting
Inria Nancy - Grand Est, LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry
4 REVES - Rendering and virtual environments with sound
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Procedural noise is a fundamental tool in Computer Graphics. However, designing noise patterns is hard. In this paper, we present Gabor noise by example, a method to estimate the parameters of bandwidth-quantized Gabor noise, a procedural noise function that can generate noise with an arbitrary power spectrum, from exemplar Gaussian textures, a class of textures that is completely characterized by their power spectrum. More specifically, we introduce (i) bandwidth-quantized Gabor noise, a generalization of Gabor noise to arbitrary power spectra that enables robust parameter estimation and efficient procedural evaluation; (ii) a robust parameter estimation technique for quantized-bandwidth Gabor noise, that automatically decomposes the noisy power spectrum estimate of an exemplar into a sparse sum of Gaussians using non-negative basis pursuit denoising; and (iii) an efficient procedural evaluation scheme for bandwidth-quantized Gabor noise, that uses multi-grid evaluation and importance sampling of the kernel parameters. Gabor noise by example preserves the traditional advantages of procedural noise, including a compact representation and a fast on-the-fly evaluation, and is mathematically well-founded. See project page at :
Type de document :
Article dans une revue
ACM Transactions on Graphics, Association for Computing Machinery, 2012, 31 (4), pp.Article No. 73. <10.1145/2185520.2185569>
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Soumis le : mercredi 9 mai 2012 - 15:48:29
Dernière modification le : mardi 13 décembre 2016 - 15:45:37
Document(s) archivé(s) le : vendredi 10 août 2012 - 02:25:30


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Bruno Galerne, Ares Lagae, Sylvain Lefebvre, George Drettakis. Gabor Noise by Example. ACM Transactions on Graphics, Association for Computing Machinery, 2012, 31 (4), pp.Article No. 73. <10.1145/2185520.2185569>. <hal-00695670>



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