Separating a Color Signal into Illumination and Surface Reflectance Components: Theory and Applications
Separating a Color Signal into Illumination and Surface Reflectance Components: Theory and Applications
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DOI：
10.1109/34.58869
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发表时间：
1990-10
期刊：
影响因子：
--
通讯作者：
Jian Ho;B. Funt;M. S. Drew
中科院分区：
文献类型：
--
作者：
Jian Ho;B. Funt;M. S. Drew
提出了一种实现颜色恒定性的分离算法及其精度定理。该算法需要额外的信息，超过通常的三个值映射人类锥响应，从光学系统。然而，有了这个额外的信息，具体地说，在可见光范围内的反射，颜色信号光谱撞击光学传感器的采样，作者能够分离照明光谱的颜色信号光谱中包含的表面反射光谱，当然，这是这两个光谱的产品。分离算法的核心是一种通用的统计方法，用于在由统计上典型的光谱的有限维线性模型表示的空间内找到最佳的照明和反射光谱，其产物紧密对应于实际颜色信号的光谱。使用这种方法，作者能够增加表面的有限维线性模型的维数到一个现实的值。产生分离算法所需的光谱样本的一种方法是使用透镜的色差效应。这是一个例子。在大范围的测试中实现的精度进行了详细说明，它表明，与实际表面反射率的协议是优秀的。>
A separation algorithm for achieving color constancy and theorems concerning its accuracy are presented. The algorithm requires extra information, over and above the usual three values mapping human cone responses, from the optical system. However, with this additional information-specifically, a sampling across the visible range of the reflected, color-signal spectrum impinging on the optical sensor-the authors are able to separate the illumination spectrum from the surface reflectance spectrum contained in the color-signal spectrum which is, of course, the product of these two spectra. At the heart of the separation algorithm is a general statistical method for finding the best illumination and reflectance spectra, within a space represented by finite-dimensional linear models of statistically typical spectra, whose product closely corresponds to the spectrum of the actual color signal. Using this method, the authors are able to increase the dimensionality of the finite-dimensional linear model for surfaces to a realistic value. One method of generating the spectral samples required for the separation algorithm is to use the chromatic aberration effects of a lens. An example of this is given. The accuracy achieved in a large range of tests is detailed, and it is shown that agreement with actual surface reflectance is excellent. >