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  2. Worley noise - Wikipedia

    en.wikipedia.org/wiki/Worley_noise

    Worley noise, also called Voronoi noise and cellular noise, is a noise function introduced by Steven Worley in 1996. Worley noise is an extension of the Voronoi diagram that outputs a real value at a given coordinate that corresponds to the Distance of the nth nearest seed (usually n=1) and the seeds are distributed evenly through the region.

  3. Voronoi diagram - Wikipedia

    en.wikipedia.org/wiki/Voronoi_diagram

    20 points and their Voronoi cells (larger version below) In mathematics, a Voronoi diagram is a partition of a plane into regions close to each of a given set of objects. It can be classified also as a tessellation. In the simplest case, these objects are just finitely many points in the plane (called seeds, sites, or generators).

  4. Simulation noise - Wikipedia

    en.wikipedia.org/wiki/Simulation_noise

    Perlin noise is the earliest form of lattice noise, which has become very popular in computer graphics. Perlin Noise is not suited for simulation because it is not divergence-free. Noises based on lattices, such as simulation noise and Perlin noise, are often calculated at different frequencies and summed together to form band-limited fractal ...

  5. Noise generator - Wikipedia

    en.wikipedia.org/wiki/Noise_generator

    Zener diode based noise source. A noise generator is a circuit that produces electrical noise (i.e., a random signal). Noise generators are used to test signals for measuring noise figure, frequency response, and other parameters. Noise generators are also used for generating random numbers. [1]

  6. Perlin noise - Wikipedia

    en.wikipedia.org/wiki/Perlin_noise

    Perlin noise is a type of gradient noise developed by Ken Perlin in 1983. It has many uses, including but not limited to: procedurally generating terrain , applying pseudo-random changes to a variable, and assisting in the creation of image textures .

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  8. Weighted Voronoi diagram - Wikipedia

    en.wikipedia.org/wiki/Weighted_Voronoi_diagram

    In a multiplicatively weighted Voronoi diagram, the distance between a point and a site is divided by the (positive) weight of the site. [1] In the plane under the ordinary Euclidean distance , the multiplicatively weighted Voronoi diagram is also called circular Dirichlet tessellation [ 2 ] [ 3 ] and its edges are circular arcs and straight ...

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