RTL Implementation of White Balance Algorithm Based on ZYNQ

Zhou Jie, Li Keyao
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Abstract

 In view of the common automatic white balance algorithm complexity is too high and the characteristics of the hardware to realize real-time. This paper combines gray world model and the advantage of white point detection algorithm, an adaptive control process is used to calculate gain coefficient and to picture the three-component white balance correction. On this basis to realize the automatic white balance based on the zynq RTL implementation of the algorithm. Compared with the traditional method, the cost of hardware is reduced, and the efficiency and flexibility of the algorithm are improved. Experimental results show that the algorithm can run smoothly and realize accurate correction of off-color images.
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基于ZYNQ的白平衡算法RTL实现
针对常见的自动白平衡算法复杂度过高以及硬件无法实现实时性的特点。本文结合灰色世界模型和白点检测算法的优点,采用自适应控制过程来计算增益系数,并对三分量白平衡校正进行成像。在此基础上实现了基于zynq RTL的自动白平衡算法。与传统方法相比,降低了硬件成本,提高了算法的效率和灵活性。实验结果表明,该算法运行平稳,可以实现对彩色图像的精确校正。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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