Module imagingbook.common

Package imagingbook.common.noise.perlin

Class PerlinNoiseGeneratorNd

java.lang.Object

imagingbook.common.noise.perlin.PerlinNoiseGenerator

imagingbook.common.noise.perlin.PerlinNoiseGeneratorNd

public class PerlinNoiseGeneratorNd
extends PerlinNoiseGenerator

This class implements an N-dimensional Perlin noise [1] generator. See Ch. 8 of [2] for details.

[1] K. Perlin. Improving noise. In "SIGGRAPH’02: Proceedings of the 29th Annual Conference on Computer Graphics and Interactive Techniques", pp. 681–682, San Antonio, Texas (2002).
[2] W. Burger and M.J. Burge. "Principles of Digital Image Processing - Advanced Methods" (Vol. 3). Undergraduate Topics in Computer Science. Springer-Verlag, London (2013).

Version:

2022/11/24

Constructor Summary

Constructors

Constructor	Description
PerlinNoiseGeneratorNd(int N, double f_min, double f_max, double persistence, HashFunction hf)	Constructor.

Method Summary

Modifier and Type	Method	Description
double	getNoiseValue(double[] X)	N-dim combined (multi-frequency) Perlin noise function.

Methods inherited from class imagingbook.common.noise.perlin.PerlinNoiseGenerator

getAmplitudes, getFrequencies

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

PerlinNoiseGeneratorNd

public PerlinNoiseGeneratorNd(int N,
 double f_min,
 double f_max,
 double persistence,
 HashFunction hf)

Constructor.

Parameters:

N - number of dimensions

f_min - minimum frequency

f_max - maximum frequency

persistence - persistence

hf - hash function

Method Details

getNoiseValue

public double getNoiseValue(double[] X)

N-dim combined (multi-frequency) Perlin noise function.

Parameters:

X - Interpolation position X (N-dimensional).

Returns:

The value of the combined Perlin noise function for the N-dimensional position X.