Cyclostationary Gaussian noise: theory and synthesis

Stationary Gaussian processes have been used for decades in the context of procedural noises to model and synthesize textures with no spatial organization. In this paper we investigate cyclostationary processes, whose statistics are repeated periodically. It enables modeling having periodic variations, which call “cyclostationary noises”. We adapt several stationary along their synthesis algorithms: spot noise, Gabor local random-phase high-performance phasor noise. exhibit real-time a variety visual patterns variations.