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Estimation of multiple illuminant colors using color lines of single image

机译:使用单个图像的色线估计多种光源颜色

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Color estimation of illuminants has been applied to various applications such as the correction of white balance and color normalization for machine vision. The color estimation from a single image, however, is still challenging because each pixel value depends on three components: illumination, reflection, and characteristic of an image sensor, whose decomposition is a hard inverse problem. This research estimates the color of illuminant using color lines obtained from each super pixel, by assuming that the component of reflected light is locally constant. This article demonstrates the availability of this method for multiple illuminants of different colors, by experimentally showing a comparative evaluation against an existing state-of-the-art technology.
机译:光源的颜色估计已应用于各种应用,例如白平衡的校正和机器视觉的颜色归一化。但是,从单个图像进行颜色估计仍然具有挑战性,因为每个像素值取决于三个分量:照明,反射和图像传感器的特性,其分解是一个困难的逆问题。这项研究通过假设反射光的分量是局部恒定的,使用从每个超级像素获得的色线来估计光源的颜色。本文通过实验展示了与现有技术水平的比较评估,证明了该方法可用于多种不同颜色的光源。

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