Picture Perfect RGB Rendering Using Spectral Prefiltering and Sharp Color Primaries
Picture Perfect RGB Rendering Using Spectral Prefiltering and Sharp Color Primaries
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使用光谱预过滤和锐利的原色进行完美的 RGB 渲染
DOI：
10.2312/egwr/egwr02/117-124
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发表时间：
2002
期刊：
影响因子：
--
通讯作者：
Elena Eydelberg
中科院分区：
文献类型：
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作者：
G. Ward;Elena Eydelberg
精确的色彩渲染需要考虑可见光谱上的许多样本，研究界开发的高级渲染工具为实现这一目标提供多光谱采样。然而，出于实际原因，包括效率、白色平衡和数据需求，大多数商业渲染包在其照明计算中仍然采用朴素的RGB模型。这导致颜色往往与正确的颜色在质量上不同。在本文中，我们展示了两个独立的和互补的技术，提高RGB渲染精度，而不影响计算时间：光谱预滤波和颜色空间选择。光谱预滤波是一种明显但被忽视的方法，用于为传统的RGB渲染计算准备输入颜色，与全光谱渲染相比，它可以获得直接分量的精确结果，以及间反射分量的非常精确的结果。在我们的方法的经验误差分析中，我们展示了渲染颜色空间的选择如何影响最终图像的精度，独立于预滤波。具体来说，我们证明了一个特定的转换，已经出现了从颜色研究界的最佳性能在计算白色点适应下不断变化的光源：夏普RGB空间的优点。
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.
DOI：
10.1364/josaa.9.001905
发表时间：
1992-11
期刊：
Journal of the Optical Society of America. A, Optics and image science
影响因子：
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作者：
D. Marimont;B. Wandell
通讯作者：
D. Marimont;B. Wandell