A simple vectorised Python implementation of the famous Wavelet Noise algorithm. Supports 2D (image) and 3D (single volume or image animation) noise fields with multiple summed octaves. Requires only NumPy and SciPy for computation.
Adjustable parameters include:
- Noise image size
n - Noise frequency
initial_freq - Noise amplitude
initial_amp - Number of noise bands
nBands - Persistence (amplitude scaling factor)
persistence - Lacunarity (frequency scaling factor)
lacunarity
- Wavelet Noise - Robert L. Cook et al.
This project is licensed under the MIT License.