Procedural Texture Synthesis by Locally Controlled Spot Noise

Nicolas Pavie (1) , Guillaume Gilet (1) , Jean-Michel Dischler (2) , Djamchid Ghazanfarpour (1)

1 XLIM-ASALI - Synthèse et analyse d'images
2 ICube - Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie

Procedural noises based on power spectrum definition and random phases have been widely used for procedural texturing, but using a noise process with random phases limits the types of possible patterns to Gaussian patterns (i.e. irregular textures with no structural features). Local Random Phase (LRP) Noise has introduced control over structural features in a noise model by fixing the frequencies and phase information of desired features, but this approach requires storing these frequencies. Space distortion and randomization must also be used to avoid repetitions and periodicity. In this paper, we present a noise model based on non-uniform random distributions of multiple Gaussian functions for synthesizing semi-structured textures. We extend the LRP noise model by using a spot noise based on a controlled distribution of kernels (spots), as an alternative formulation to local noises aligned on a regular grid. Spots are created as a combination of Gaussian functions to match either a specific power spectrum or a user-defined texture element. Our noise model improves the control over local structural features while keeping the benefits of LRP noise.

Mots clés: Procedural texturing; procedural noise; Image synthesis

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]

Nicolas Pavie, Guillaume Gilet, Jean-Michel Dischler, Djamchid Ghazanfarpour. Procedural Texture Synthesis by Locally Controlled Spot Noise. Computer Science Research Notes, 2016, 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2016 Plzen, Czech Republic May 30 – June 3, 2016 Proceedings, 2601, pp.71-79. ⟨hal-02413318⟩