Wavelength selection for synthetic image generation
Computer Vision, Graphics, and Image Processing
Trichromatic approximation for computer graphics illumination models
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Linear color representations for full speed spectral rendering
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
A multiscale model of adaptation and spatial vision for realistic image display
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Reflectance and texture of real-world surfaces
ACM Transactions on Graphics (TOG)
Principles of Digital Image Synthesis
Principles of Digital Image Synthesis
A Visibility Matching Tone Reproduction Operator for High Dynamic Range Scenes
IEEE Transactions on Visualization and Computer Graphics
An RGB-to-spectrum conversion for reflectances
Journal of Graphics Tools
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)
One-click white balance using human skin reflectance
Proceedings of Graphics Interface 2009
Digital Modeling of Material Appearance
Digital Modeling of Material Appearance
ACM SIGGRAPH ASIA 2009 Courses
Spectral colour order systems and appearance metrics for fluorescent solid colours
Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
A robust illumination estimate for chromatic adaptation in rendered images
EGSR'09 Proceedings of the Twentieth Eurographics conference on Rendering
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Accurate color rendering requires the consideration of many samples over the visible spectrum, and advanced rendering tools developed by the research community offer multispectral sampling towards this goal. However, for practical reasons including efficiency, white balance, and data demands, most commercial rendering packages still employ a naive RGB model in their lighting calculations. This results in colors that are often qualitatively different from the correct ones. In this paper, we demonstrate two independent and complementary techniques for improving RGB rendering accuracy without impacting calculation time: spectral prefiltering and color space selection. Spectral prefiltering is an obvious but overlooked method of preparing input colors for a conventional RGB rendering calculation, which achieves exact results for the direct component, and very accurate results for the interreflected component when compared with full-spectral rendering. In an empirical error analysis of our method, we show how the choice of rendering color space also affects final image accuracy, independent of prefiltering. Specifically, we demonstrate the merits of a particular transform that has emerged from the color research community as the best performer in computing white point adaptation under changing illuminants: the Sharp RGB space.