颜色饱和度:上下百分比直方图操作

Kyra Obert, Maria Schudt, Ian Bentley
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引用次数: 0

摘要

有各种颜色校正技术可以应用于数字照片,以考虑环境光照的变化。这份手稿包含了一种提出的这种颜色校正方法。该方法包括通过使用图像的RGB直方图的上百分比和下百分比直方图操作,使图像饱和其像素的指定百分比。使用这种新技术的变体、白平衡(WB)校正方法和多变量拟合来测试其相对于常见颜色校正技术的性能。研究结果表明,上下百分比直方图处理方法不仅更适用于照片,因为它不需要对校准区域进行采样,而且当存在大量灰度特征(如黑白网格或文本)时,它在校正照片时也更一致。我们测试这些技术的动机是找到最稳健的颜色校正技术,该技术广泛适用(不需要颜色检查器图表),并且在不同的照明下保持一致。关键词:颜色校正;直方图操作;饱和白平衡;科学图像分析;颜色比较;欧氏距离;标准偏差;色差
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Color Saturation: Upper and Lower Percentage Histogram Manipulation
There are various color correction techniques that can be applied to digital photographs to account for environmental lighting variations. This manuscript contains a proposed method for such color correction. The method involves saturating an image by a specified percentage of its pixels via upper and lower percentage histogram manipulation using the image’s RGB histograms. Variations of this new technique, the white balance (WB) correction method, and a multivariable fit are used to test its performance against common color correction techniques. The findings demonstrate that the upper and lower percentage histogram manipulation method is not only more applicable to photos because it doesn’t require calibration regions to be sampled but it is also more consistent in its correction of photos when there are substantial gray scale features (e.g. a black and white grid or text). Our motivation for testing these techniques is to find the most robust color correction technique that is broadly applicable (not requiring a color checker chart) and is consistent across different lighting. KEYWORDS: Color Correction; Histogram Manipulation; Saturation; White Balance; Scientific Image Analysis; Color Comparisons; Euclidean Distance; Standard Deviation; Color Difference
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