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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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| Published in: | The Visual computer 2012-06, Vol.28 (6-8), p.679-689 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
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| cites | cdi_FETCH-LOGICAL-c350t-e0b5b9b725f5fd771eb1e93a16c2c89bc991279761ceaf2b995be66a6ab73ca93 |
| container_end_page | 689 |
| container_issue | 6-8 |
| container_start_page | 679 |
| container_title | The Visual computer |
| container_volume | 28 |
| creator | Gilet, G. Dischler, J-M. Ghazanfarpour, D. |
| description | 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. |
| doi_str_mv | 10.1007/s00371-012-0711-2 |
| format | article |
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| fulltext | fulltext |
| identifier | ISSN: 0178-2789 |
| ispartof | The Visual computer, 2012-06, Vol.28 (6-8), p.679-689 |
| issn | 0178-2789 1432-2315 1432-8726 |
| language | eng |
| recordid | cdi_hal_primary_oai_HAL_hal_00766595v1 |
| source | Springer Nature |
| 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 |
| title | Multiple kernels noise for improved procedural texturing |
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