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Estimation of lighting conditions based on near-gray pixel detection using cylindrical boundaries

机译:基于使用圆柱边界的近灰像素检测的照明条件估计

摘要

This disclosure describes image processing techniques that facilitate the determination of the lighting condition associated with an image. Once the lighting condition is determined, white balance can be performed on the image such as by applying white balance gains defined for the lighting condition. According to the techniques of this disclosure, gray point lines are defined and plotted for the different lighting conditions, and cylindrical bounding volumes are defined around the gray point lines, e.g., in a three-dimensional color space. The image is then analyzed with respect to each of the cylindrical bounding volumes to determine how many pixels of the image fall within the respective cylindrical bounding volumes formed around the gray point lines for the different lighting conditions. Based on this analysis, the actual lighting condition can be determined. The use of cylindrical bounding volumes can significantly improve the process of determining lighting conditions relative to conventional techniques.
机译:本公开描述了有助于确定与图像相关联的照明条件的图像处理技术。一旦确定了照明条件,就可以对图像执行白平衡,例如通过应用为照明条件定义的白平衡增益。根据本公开的技术,针对不同的照明条件定义并绘制灰度点线,并且例如在三维色彩空间中,围绕灰度点线定义圆柱状的边界体积。然后针对每个圆柱形边界体积分析图像,以确定在不同的照明条件下,多少个像素的像素落在围绕灰点线形成的各个圆柱形边界体积内。基于该分析,可以确定实际的照明条件。相对于常规技术,圆柱形边界体积的使用可以显着改善确定照明条件的过程。

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