Source color error analysis for robust separation of reflection components

S. Biswas, K. Shafique
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Abstract

In this paper, we address the problem of separating the diffuse and specular reflection components of complex textured surfaces from a single color image. Unlike most previous approaches that assume accurate knowledge of illumination source color for this task, we analyze errors in source color information to perform robust separation. The analysis leads to a simple, efficient and robust algorithm to estimate the diffuse and specular components using the estimated source color. The algorithm is completely automatic and does not need explicit color segmentation or color boundary detection as required by many existing methods. Results on complex textured images show the effectiveness of the proposed algorithm for robust reflection component separation.
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反射分量鲁棒分离的源色误差分析
在本文中,我们解决了从单色图像中分离复杂纹理表面的漫反射和镜面反射组件的问题。与之前大多数假设光源颜色准确的方法不同,我们分析光源颜色信息中的误差来执行鲁棒分离。通过分析得出一种简单、高效和鲁棒的算法,利用估计的光源颜色来估计漫反射和反射分量。该算法是完全自动化的,不需要像许多现有方法那样需要明确的颜色分割或颜色边界检测。在复杂纹理图像上的实验结果表明了该算法对鲁棒反射分量分离的有效性。
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