A Low-Dimensional Function Space for Efficient Spectral Upsampling

dc.contributor.authorJakob, Wenzelen_US
dc.contributor.authorHanika, Johannesen_US
dc.contributor.editorAlliez, Pierre and Pellacini, Fabioen_US
dc.date.accessioned2019-05-05T17:39:37Z
dc.date.available2019-05-05T17:39:37Z
dc.date.issued2019
dc.description.abstractWe present a versatile technique to convert textures with tristimulus colors into the spectral domain, allowing such content to be used in modern rendering systems. Our method is based on the observation that suitable reflectance spectra can be represented using a low-dimensional parametric model that is intrinsically smooth and energy-conserving, which leads to significant simplifications compared to prior work. The resulting spectral textures are compact and efficient: storage requirements are identical to standard RGB textures, and as few as six floating point instructions are required to evaluate them at any wavelength. Our model is the first spectral upsampling method to achieve zero error on the full sRGB gamut. The technique also supports large-gamut color spaces, and can be vectorized effectively for use in rendering systems that handle many wavelengths at once.en_US
dc.description.number2
dc.description.sectionheadersSampling
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume38
dc.identifier.doi10.1111/cgf.13626
dc.identifier.issn1467-8659
dc.identifier.pages147-155
dc.identifier.urihttps://doi.org/10.1111/cgf.13626
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13626
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectReflectance modeling
dc.titleA Low-Dimensional Function Space for Efficient Spectral Upsamplingen_US
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