A novel methodology is proposed to identify the distribution of the intensity of the illuminant across a real‐world image; with this information, the image can be classified as a homogeneous or nonhomogeneous lighting source. A criterion is proposed for deciding whether the illumination in the tested image is homogeneous or nonhomogeneous. This criterion is based on well‐established methods that are dedicated to improving color characteristics and are commonly used to determine the color of the lighting source during a captured scene. The classification of homogeneous or nonhomogeneous illumination in real‐world images is implemented in the BSD500 database, and the results are compared with a manual classification of images—proposed under subjective criteria—by the authors; in this way, one can analyze how the lighting source affects the image. This procedure provides a classification methodology for real‐world image databases found in the scientific literature.

中文翻译：

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在彩色图像中应用光源分类以增强对比度

提出了一种新颖的方法来确定光源强度在整个真实世界图像中的分布。利用此信息，可以将图像分类为均匀或不均匀的光源。提出了用于确定测试图像中的照明是均匀还是非均匀的标准。此标准基于完善的方法，这些方法专用于改善色彩特性，并通常用于确定捕获的场景期间光源的颜色。BSD500数据库中对真实世界图像中的均匀或不均匀照明进行了分类，并将结果与​​作者根据主观标准提出的图像人工分类进行了比较；通过这种方式，可以分析光源如何影响图像。