Tuesday, July 05, 2011

Spotted: Improving Gabor Noise

Gabor functions are regularly used in perceptual research to approximate human visual processing.
Digital Object Identifier: 10.1109/TVCG.2010.238




Lagae, A.;   Lefebvre, S.;   Dutre, P.;   
Dept. Computerwetenschappen, Katholieke Univ. Leuven, Heverlee, Belgium 
This paper appears in: Visualization and Computer Graphics, IEEE Transactions on
Issue Date: Aug. 2011
Volume: 17 Issue:8
On page(s): 1096 - 1107
ISSN: 1077-2626
INSPEC Accession Number: 12047184
Digital Object Identifier: 10.1109/TVCG.2010.238 
Date of Publication: 2010-11-09 10:58:20.0
Date of Current Version: 2011-06-09 11:40:04.0
Sponsored by: IEEE Computer Society 


Abstract


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.

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