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Efficient Computational Noise in GLSL
Ashima Research.
Ashima Research.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Media and Information Technology)ORCID iD: 0000-0003-2559-6122
Ashima Research.
2012 (English)In: Journal of Graphics Tools, ISSN 2165-347X (print) 2151-2272 (online), Vol. 16, no 2, 85-94 p.Article in journal (Refereed) Published
Abstract [en]

We present GLSL implementations of Perlin noise and Perlin simplex noise that run fast enough for practical consideration on current generation GPU hardware. The key benefits are that the functions are purely computational (i.e., they use neither textures nor lookup tables) and that they are implemented in GLSL version 1.20, which means they are compatible with all current GLSL-capable platforms, including OpenGL ES 2.0 and WebGL 1.0. Their performance is on par with previously presented GPU implementations of noise, they are very convenient to use, and they scale well with increasing parallelism in present and upcoming GPU architectures.

Place, publisher, year, edition, pages
Taylor & Francis, 2012. Vol. 16, no 2, 85-94 p.
Keyword [en]
Perlin noise, GLSL, GPU, real time, shading
National Category
Media and Communication Technology
URN: urn:nbn:se:liu:diva-78295DOI: 10.1080/2151237X.2012.649621OAI: diva2:531854
Available from: 2013-04-02 Created: 2012-06-08 Last updated: 2013-09-12Bibliographically approved

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