Procedural phasor noise

Abstract

oscillating field with prescribed main frequencies and preserved contrast oscillations. In addition, the profile of each oscillation is directly controllable (e.g. sine wave, sawtooth, rectangular or any 1D profile). Our technique builds upon a reformulation of Gabor noise in terms of a phasor field that affords for a clear separation between local intensity and phase. Applications range from texturing to modeling surface displacements, as well as multi-material microstructures in the context of additive manufacturing. CCS Concepts: • Computing methodologies → Texturing.

Local spot noise for procedural surface details synthesis

“…Yielding high quality fast texturing, this method nonetheless has the same drawbacks of patch-based methods and works mostly for tile-able stochastic input textures. Finally, by rewriting Gabor noise as a single sine wave using a sum of phasors and studying its spectrum of variance, Tricard et al [27] addressed the contrast oscillation problem and introduced a new tool for pattern synthesis, providing fine controls over the final appearance by editing the profile function. However, the generated patterns may contain visual singularities and the method does not tackle filtering issues.…”

Cyclostationary Gaussian noise: theory and synthesis

“…Guingo et al [GSDC17] explores the possibility of using several spectra to provide a higher control over the output spatial organization, but without synthesizing near‐regular textures. Phasor noise [TEZ + 19] generate patterns with strong variations of intensity, by controlling the instantaneous phase and a wave profile. Spot noise [vW91] is a notable implementation of the ADSN model presented later by Galerne et al [GGM11], which consists in blending a discrete kernel at random positions.…”

“…Purely random patterns can be directly generated with noise; an important class of such patterns are textures that are realizations of stationary Gaussian processes. Recent noise synthesis approaches attempt to enlarge the range of patterns that noise is able to reach directly, that is, with no additional procedural modeling technique, like local random‐phase [GSV + 14], high‐performance [HN18] and Phasor [TEZ + 19] noise. Our goal is to follow on from these works and further increase the range of patterns reachable with a stand‐alone procedural noise.…”

Prime gradient noise

“…Variations on Gabor noise include random phase Gabor noise [33], bandwidth-quantized Gabor noise [34], and NPR Gabor noise [35]. A very recent development based on Gabor noise is phasor noise [36], the main idea of which is to separate the intensity and phase of Gabor noise and control them separately.…”

“…For comparison purposes, we also implemented related algorithms including Perlin [2,6,18], better gradient [7], Worley [23], wavelet [37], Gabor [31], and phasor [36] noise functions. An open source repository containing all these noise functions along with necessary analysis tools such as amplitude distribution and periodogram functions will be made publicly available soon.…”