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Reports (Research Report) Year : 2016

Understanding and controlling contrast oscillations in stochastic texture algorithms using Spectrum of Variance

Eric Heitz
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Abstract

We identify and analyze a major issue pertaining to all power-spectrum based texture synthesis algorithms – from Fourier synthesis to procedural noise algorithms like Perlin or Gabor noise – , namely, the oscillation of contrast (see Figures 1,2,3,7). One of our key contributions is to introduce a simple yet powerful descriptor of signals, the Spectrum of Variance (not to be confused with the PSD), which, to our surprise, has never been leveraged before. In this new framework, several issues get easy to understand measure and control, with new handles, as we illustrate. We finally show that fixing oscillation of contrast opens many doors to a more controllable authoring of stochastic texturing. We explore some of the new reachable possibilities such as constrained noise content and bridges towards very different families of look such as cellular patterns, points-like distributions or reaction-diffusion.
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Dates and versions

hal-01349134 , version 1 (26-07-2016)

Identifiers

  • HAL Id : hal-01349134 , version 1

Cite

Fabrice Neyret, Eric Heitz. Understanding and controlling contrast oscillations in stochastic texture algorithms using Spectrum of Variance. [Research Report] LJK / Grenoble University - INRIA. 2016, pp.8. ⟨hal-01349134⟩
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