Reconstructing Monte Carlo Errors as a Blue-noise in Screen Space

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dc.contributor.authorLiu, Honglien_US
dc.contributor.authorHan, Hongleien_US
dc.contributor.editorLee, Sung-hee and Zollmann, Stefanie and Okabe, Makoto and Wuensche, Burkharden_US
dc.date.accessioned2020-10-29T18:39:39Z
dc.date.available2020-10-29T18:39:39Z
dc.date.issued2020
dc.description.abstractWe present a novel method that reconstructs the Monte Carlo errors of renderings as a blue-noise in screen space. To this end, we conform the statistic result of per-pixel integration to a precomputed blue-noise mask. Thanks to the property of bluenoise, more visual fidelity is achieved through renderings after the reconstruction. The method has two key features. First, its realization is fast and straightforward. Second, it produces stable blue-noise-error renderings regardless of the correlation of the integrands. The preliminary results present robust blue-noise spectra with promising visual improvements in the renderings.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationPacific Graphics Short Papers, Posters, and Work-in-Progress Papers
dc.identifier.doi10.2312/pg.20201230
dc.identifier.isbn978-3-03868-120-5
dc.identifier.pages45-46
dc.identifier.urihttps://doi.org/10.2312/pg.20201230
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pg20201230
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectRendering
dc.titleReconstructing Monte Carlo Errors as a Blue-noise in Screen Spaceen_US
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PG2020 Short Papers, Posters, and Work-in-Progress Papers