A Low‐Dimensional Function Space for Efficient Spectral Upsampling
A Low‐Dimensional Function Space for Efficient Spectral Upsampling
复制标题
用于高效频谱上采样的低维函数空间
DOI：
10.1111/cgf.13626
复制
发表时间：
2019
影响因子：
2.5
通讯作者：
J. Hanika
中科院分区：
文献类型：
--
作者：
Wenzel Jakob;J. Hanika
我们提出了一种通用的技术，将纹理与三色刺激的颜色转换到光谱域，允许这样的内容被用于现代渲染系统。我们的方法是基于这样的观察，即合适的反射光谱可以使用低维参数模型来表示，该模型本质上是平滑的和节能的，这导致与先前的工作相比显着的简化。由此产生的光谱纹理是紧凑和高效的：存储要求与标准RGB纹理相同，并且在任何波长下只需六个浮点指令即可对其进行评估。我们的模型是第一种在全sRGB色域上实现零误差的光谱上采样方法。该技术还支持大色域色彩空间，并且可以有效地矢量化，以用于同时处理许多波长的渲染系统。
We 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.
DOI：
10.1145/3197517.3201351
发表时间：
2018-07
期刊：
ACM Transactions on Graphics (TOG)
影响因子：
--
作者：
Ling-Qi Yan;Miloš Hašan;B. Walter;Steve Marschner;R. Ramamoorthi
通讯作者：
Ling-Qi Yan;Miloš Hašan;B. Walter;Steve Marschner;R. Ramamoorthi