Gabor Noise by Example
Identifieur interne : 001A45 ( Main/Exploration ); précédent : 001A44; suivant : 001A46Gabor Noise by Example
Auteurs : Bruno Galerne [France] ; Ares Lagae [Belgique] ; Sylvain Lefebvre [France] ; George Drettakis [France]Source :
- ACM Transactions on Graphics [ 0730-0301 ] ; 2012-07.
English descriptors
- mix :
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 : http://graphics.cs.kuleuven.be/publications/GLLD12GNBE/
Url:
DOI: 10.1145/2185520.2185569
Affiliations:
- Belgique, France
- Grand Est, Lorraine (région), Province du Brabant flamand, Région flamande
- Louvain, Metz, Nancy
- Katholieke Universiteit Leuven, Université de Lorraine
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Le document en format XML
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<orgName type="acronym">REVES</orgName>
<desc><address><addrLine>2004 route des Lucioles BP 93 F-06902 Sophia Antipolis (France)</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www-sop.inria.fr/reves/</ref>
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<tutelles><tutelle active="#struct-34586" type="direct"><org type="laboratory" xml:id="struct-34586" status="VALID"><idno type="RNSR">198318250R</idno>
<orgName>Inria Sophia Antipolis - Méditerranée </orgName>
<orgName type="acronym">CRISAM</orgName>
<desc><address><addrLine>2004 route des Lucioles BP 93 06902 Sophia Antipolis</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.inria.fr/centre/sophia/</ref>
</desc>
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</listRelation>
</org>
</tutelle>
<tutelle active="#struct-300009" type="indirect"><org type="institution" xml:id="struct-300009" status="VALID"><orgName>Institut National de Recherche en Informatique et en Automatique</orgName>
<orgName type="acronym">Inria</orgName>
<desc><address><addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.inria.fr/en/</ref>
</desc>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
<country>France</country>
</affiliation>
</author>
</analytic>
<idno type="DOI">10.1145/2185520.2185569</idno>
<series><title level="j">ACM Transactions on Graphics</title>
<idno type="ISSN">0730-0301</idno>
<imprint><date type="datePub">2012-07</date>
</imprint>
</series>
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</fileDesc>
<profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Gaussian random field</term>
<term>Gaussian texture</term>
<term>decorrelated color space</term>
<term>non-negative basis pursuit denoising</term>
<term>power spectrum estimation</term>
<term>procedural noise</term>
</keywords>
</textClass>
</profileDesc>
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<front><div type="abstract" xml:lang="en">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 : http://graphics.cs.kuleuven.be/publications/GLLD12GNBE/</div>
</front>
</TEI>
<affiliations><list><country><li>Belgique</li>
<li>France</li>
</country>
<region><li>Grand Est</li>
<li>Lorraine (région)</li>
<li>Province du Brabant flamand</li>
<li>Région flamande</li>
</region>
<settlement><li>Louvain</li>
<li>Metz</li>
<li>Nancy</li>
</settlement>
<orgName><li>Katholieke Universiteit Leuven</li>
<li>Université de Lorraine</li>
</orgName>
</list>
<tree><country name="France"><noRegion><name sortKey="Galerne, Bruno" sort="Galerne, Bruno" uniqKey="Galerne B" first="Bruno" last="Galerne">Bruno Galerne</name>
</noRegion>
<name sortKey="Drettakis, George" sort="Drettakis, George" uniqKey="Drettakis G" first="George" last="Drettakis">George Drettakis</name>
<name sortKey="Lefebvre, Sylvain" sort="Lefebvre, Sylvain" uniqKey="Lefebvre S" first="Sylvain" last="Lefebvre">Sylvain Lefebvre</name>
</country>
<country name="Belgique"><region name="Région flamande"><name sortKey="Lagae, Ares" sort="Lagae, Ares" uniqKey="Lagae A" first="Ares" last="Lagae">Ares Lagae</name>
</region>
</country>
</tree>
</affiliations>
</record>
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