Cyclostationary Gaussian Noise: Theory and Synthesis

dc.contributor.authorLutz, Nicolasen_US
dc.contributor.authorSauvage, Basileen_US
dc.contributor.authorDischler, Jean-Michelen_US
dc.contributor.editorMitra, Niloy and Viola, Ivanen_US
dc.date.accessioned2021-04-09T08:00:31Z
dc.date.available2021-04-09T08:00:31Z
dc.date.issued2021
dc.description.abstractStationary 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 Gaussian processes, whose statistics are repeated periodically. It enables the modeling of noises having periodic spatial variations, which we call "cyclostationary Gaussian noises". We adapt to the cyclostationary context several stationary noises along with their synthesis algorithms: spot noise, Gabor noise, local random-phase noise, high-performance noise, and phasor noise. We exhibit real-time synthesis of a variety of visual patterns having periodic spatial variations.en_US
dc.description.number2
dc.description.sectionheadersSampling Theory
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume40
dc.identifier.doi10.1111/cgf.142629
dc.identifier.issn1467-8659
dc.identifier.pages239-250
dc.identifier.urihttps://doi.org/10.1111/cgf.142629
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf142629
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectRendering
dc.subjectTexturing
dc.titleCyclostationary Gaussian Noise: Theory and Synthesisen_US
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