Gamut mapping spatially varying reflectance with an improved BRDF similarity metric

Thiago Pereira, Szymon Rusinkiewicz

Research output: Contribution to journalArticlepeer-review

24 Scopus citations


Recent spatially varying reflectance (svbrdf) printing systems can reproduce an input document as a combination Of matte, glossy and metallic inks. Due to the limited number of inks, this reproduction process incurs Some distortion. In this work, we present an svbrdf gamut mapping algorithm that minimizes distortions in the Angular and spatial domains. To preserve a material's perceived variation with lighting and view, we introduce An improved BRDF similarity metric that builds on both experimental results on reflectance perception and on The statistics of natural lighting environments. Our experiments show better preservation of object color and highlights, As validated quantitatively as well as through a perceptual study. As for the spatial domain, we show how to Adapt traditional color gamut mapping methods to svbrdfs. Our solution takes into account the contrast between Regions, achieving better preservation of textures and edges.

Original languageEnglish (US)
Pages (from-to)1557-1566
Number of pages10
JournalComputer Graphics Forum
Issue number4
StatePublished - 2012

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design


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