An observed image is composed of multiple components based on optical phenomena, such as light reflection and scattering. Decomposing the observed image into individual components is an important process for various computer vision tasks. No general approach to combine them exists although many decomposition methods exist. This paper proposes a general approach to combine different decomposition methods in a linear algebraic manner called multiple-weighted measurements. Experimental results show that the proposed approach decomposes observed images into four optical components based on diffuse and specular reflection and single and multiple scattering. The decomposed components are applied to material segmentation as an application.

中文翻译：

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通过多次加权测量分解反射和散射

观察到的图像由基于光学现象（例如光反射和散射）的多个组件组成。将观察到的图像分解为单个组件是执行各种计算机视觉任务的重要过程。尽管存在许多分解方法，但是不存在将它们组合的通用方法。本文提出了一种通用方法，以线性代数方式将不同的分解方法组合在一起，称为多重加权度量。实验结果表明，该方法基于漫反射和镜面反射以及单次和多次散射，将观察到的图像分解为四个光学分量。分解后的组件作为应用程序应用于材料分割。