摘要： 提出一种基于Raw格式图像的自动白平衡方法。该方法对图像传感器所获取的原始Raw格式数据进行色彩统计特性分析，在此基础上实现一种自适应的白平衡算法，利用图像传感器的成像解析能力，降低算法的计算复杂性。通过对大量自然图像测试的实验结果表明，该方法能够获得较好的色彩白平衡效果，且计算效率较优。

关键词: Raw格式, 自适应白平衡, 色彩统计特性, Bayer模式

Abstract: It proposes an automatic white balance method based on Raw format image. The method makes an assay of color statistics characteristics for Raw data which getting from image sensor. On this basis, it achieves an adaptive algorithm of white balance, and the method not only makes full use of the imaging analysis capabilities of image sensor, but also reduces the computational complexity. Experimental results show that, on a large number of natural images set, the method has better color balance effect and better computational efficiency.

Key words: Raw format, adaptive white balance, color statistics characteristics, Bayer pattern

中图分类号: 

• TP391.4