Multiple kernels noise for improved procedural texturing

Procedural texturing is a well known method to synthesize details onto virtual surfaces directly during rendering. But the creation of such textures is often a long and painstaking task. This paper introduces a new noise function, called multiple kernels noise. It is characterized by an arbitrary en...

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Bibliographic Details
Published in:The Visual computer 2012-06, Vol.28 (6-8), p.679-689
Main Authors: Gilet, G., Dischler, J-M., Ghazanfarpour, D.
Format: Article
Language:English
Subjects:
Approximation
Artificial Intelligence
Computer Graphics
Computer Science
Decomposition
Energy distribution
Fourier transforms
Image Processing and Computer Vision
Kernel functions
Noise
Original Article
Power spectral density
Signal processing
Texturing
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Summary:Procedural texturing is a well known method to synthesize details onto virtual surfaces directly during rendering. But the creation of such textures is often a long and painstaking task. This paper introduces a new noise function, called multiple kernels noise. It is characterized by an arbitrary energy distribution in spectral domain. Multiple kernels noise is obtained by adaptively decomposing a user-defined power spectral density (PSD) into rectangular regions. These are then associated to kernel functions used to compute noise values by sparse convolution. We show how multiple kernels noise (1) increases the variety of noisy procedural textures that can be modeled and (2) helps creating structured procedural textures by automatic extraction of noise characteristics from user-supplied samples.
ISSN:0178-2789
1432-2315
1432-8726
DOI:10.1007/s00371-012-0711-2