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Fast high-quality noise

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GRAPHITE '07: Proceedings of the 5th international conference on Computer graphics and interactive techniques in Australia and Southeast Asia

Pages 243 - 248

https://doi.org/10.1145/1321261.1321305

Published: 01 December 2007 Publication History

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Abstract

At the moment the noise functions available in a graphics programmer's toolbox are either slow to compute or they involve grid-line artifacts making them of lower quality. In this paper we present a real-time noise computation with no grid-line artifacts or other regularity problems. In other words, we put a new tool in the box that computes fast high-quality noise. In addition to being free of artifacts, the noise we present does not rely on tabulated data (everything is computed on the fly) and it is easy to adjust quality vs. quantity for the noise. The noise is based on point rendering (like spot noise), but it extends to more than two dimensions. The fact that it is based on point rendering makes art direction of the noise much easier.

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Cited By

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Bærentzen JFrisvad JMartínez J(2023)Curl Noise JitteringSIGGRAPH Asia 2023 Conference Papers10.1145/3610548.3618163(1-11)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.1145/3610548.3618163
Taylor SSharpe OPeethambaran J(2021)Prime gradient noiseComputational Visual Media10.1007/s41095-021-0206-z7:3(349-362)Online publication date: 27-Feb-2021
https://doi.org/10.1007/s41095-021-0206-z
Luongo AFalster VDoest MRibo MEiriksson EPedersen DFrisvad J(2019)Microstructure Control in 3D Printing with Digital Light ProcessingComputer Graphics Forum10.1111/cgf.1380739:1(347-359)Online publication date: 28-Aug-2019
https://doi.org/10.1111/cgf.13807
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Index Terms

Fast high-quality noise
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics

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GRAPHITE '07: Proceedings of the 5th international conference on Computer graphics and interactive techniques in Australia and Southeast Asia

December 2007

335 pages

ISBN:9781595939128

DOI:10.1145/1321261

Conference Chair:
Andrew Rohl
iVEC

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 December 2007

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GRAPHITE07: International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia

December 1 - 4, 2007

Perth, Australia

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Overall Acceptance Rate 124 of 241 submissions, 51%

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Bærentzen JFrisvad JMartínez J(2023)Curl Noise JitteringSIGGRAPH Asia 2023 Conference Papers10.1145/3610548.3618163(1-11)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.1145/3610548.3618163
Taylor SSharpe OPeethambaran J(2021)Prime gradient noiseComputational Visual Media10.1007/s41095-021-0206-z7:3(349-362)Online publication date: 27-Feb-2021
https://doi.org/10.1007/s41095-021-0206-z
Luongo AFalster VDoest MRibo MEiriksson EPedersen DFrisvad J(2019)Microstructure Control in 3D Printing with Digital Light ProcessingComputer Graphics Forum10.1111/cgf.1380739:1(347-359)Online publication date: 28-Aug-2019
https://doi.org/10.1111/cgf.13807
Tosik TSchwinghammer JFeldvos MJonte JBrech AMaehle E(2016)MARS: A simulation environment for marine swarm robotics and environmental monitoringOCEANS 2016 - Shanghai10.1109/OCEANSAP.2016.7485333(1-6)Online publication date: Apr-2016
https://doi.org/10.1109/OCEANSAP.2016.7485333
Lagae ALefebvre SCook RDeRose TDrettakis GEbert DLewis JPerlin KZwicker M(2010)A Survey of Procedural Noise FunctionsComputer Graphics Forum10.1111/j.1467-8659.2010.01827.x29:8(2579-2600)Online publication date: 4-Oct-2010
https://doi.org/10.1111/j.1467-8659.2010.01827.x
Bénard PLagae AVangorp PLefebvre SDrettakis GThollot J(2010)A dynamic noise primitive for coherent stylizationProceedings of the 21st Eurographics conference on Rendering10.1111/j.1467-8659.2010.01747.x(1497-1506)Online publication date: 28-Jun-2010
https://dl.acm.org/doi/10.1111/j.1467-8659.2010.01747.x
Lagae ALefebvre SDrettakis GDutré PFunkhouser T(2009)Procedural noise using sparse Gabor convolutionACM SIGGRAPH 2009 papers10.1145/1576246.1531360(1-10)Online publication date: 27-Jul-2009
https://dl.acm.org/doi/10.1145/1576246.1531360
Lagae ALefebvre SDrettakis GDutré P(2009)Procedural noise using sparse Gabor convolutionACM Transactions on Graphics (TOG)10.1145/1531326.153136028:3(1-10)Online publication date: 27-Jul-2009
https://dl.acm.org/doi/10.1145/1531326.1531360
Huwe THemmerling RMyszkowski K(2008)Stochastic path tracing on consumer graphics cardsProceedings of the 24th Spring Conference on Computer Graphics10.1145/1921264.1921287(105-111)Online publication date: 21-Apr-2008
https://dl.acm.org/doi/10.1145/1921264.1921287

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Practical Noise Reduction for Progressive Stochastic Ray Tracing with Perceptual Control

A recursive nonlinear filter for removal of impulse noise

Procedural noise using sparse Gabor convolution

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Practical Noise Reduction for Progressive Stochastic Ray Tracing with Perceptual Control

A recursive nonlinear filter for removal of impulse noise

Procedural noise using sparse Gabor convolution

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