标准光源
色彩平衡
人工智能
计算机视觉
计算机科学
加权
颜色恒定性
集合(抽象数据类型)
平衡(能力)
颜色校正
图像(数学)
图像处理
彩色图像
医学
物理医学与康复
放射科
程序设计语言
作者
Mahmoud Afifi,Marcus A. Brubaker,Michael S. Brown
标识
DOI:10.1109/wacv51458.2022.00101
摘要
Auto white balance (AWB) is applied by camera hardware at capture time to remove the color cast caused by the scene illumination. The vast majority of white-balance algorithms assume a single light source illuminates the scene; however, real scenes often have mixed lighting conditions. This paper presents an effective AWB method to deal with such mixed-illuminant scenes. A unique departure from conventional AWB, our method does not require illuminant estimation, as is the case in traditional camera AWB modules. Instead, our method proposes to render the captured scene with a small set of predefined white-balance settings. Given this set of rendered images, our method learns to estimate weighting maps that are used to blend the rendered images to generate the final corrected image. Through extensive experiments, we show this proposed method produces promising results compared to other alternatives for single-and mixed-illuminant scene color correction.
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