基于灰度世界和白点检测的自动白平衡算法

Automatic White Balance Algorithm Based on Gray World and White Point Detection

针对常见的自动白平衡算法存在的图像场景适应性不足或算法复杂度过高的问题,提出了一种新的自动白平衡算法。该方法综合考虑了灰度世界模型和白点检测算法的各自优势,采用一种自适应的控制流程来计算图像三分量的增益系数并进行白平衡校正,在此基础上,运用软硬件协同设计来实现该算法,降低了硬件的开销,提高了算法的灵活性。实验结果表明,该算法改善了传统算法,能实现对偏色图像的准确校正。

A new automatic white balance algorithm was proposed for scene adaptivity or algorithm complexity of basic automatic white balance algorithms.Advantages of gray world model and white point detection algorithm were both considerd,using an adaptive control flow to calculate image gain coefficients and perform white balance correction.Then,hardware-software co-design was used to implement the algorithm aiming to lower hardware cost and improve algorithm flexibility.The test results indicate that,this white balance algorithm is better than traditional algorithms and can precisely adjusts the image of color cast.