Gradient noise is a type ofnoise commonly used as aprocedural texture primitive in computer graphics. It is conceptually different from[further explanation needed], and often confused with,value noise. This method consists of a creation of a lattice of random (or typicallypseudorandom)gradients,dot products of which are then interpolated to obtain values in between the lattices. An artifact of some implementations of this noise is that the returned value at the lattice points is 0. Unlike the value noise, gradient noise has more energy in the high frequencies.
The first known implementation of a gradient noise function wasPerlin noise, credited toKen Perlin, who published the description of it in 1985.[1] Later developments wereSimplex noise andOpenSimplex noise.
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