基于光源估计的多摄系统白平衡一致性转换方法

White Balance Consistency Conversion Method for Multi-Camera System Based on Illuminant Estimation

  • 摘要: 针对多摄成像系统中多个相机模组因硬件差异引起的白平衡不一致问题,提出基于光源估计的白平衡一致性转换方法,使用决策点转换方法、查找表方法、分类决策点转换方法将原始相机的白平衡决策点转换给参考相机,并使用色度比例差异、白点色差和全色块色差三个指标,在多种光源下对算法进行评价. 结果表明提出的查找表和分类决策点转换方法可有效提升多摄相机模组的白平衡一致性,满足移动设备影像系统使用需求,并可指导多摄成像系统的模组硬件设计和选型.

     

    Abstract: To solve the problem of white balance inconsistency caused by hardware difference of multiple camera modules in multi-camera imaging systems, a white balance consistency conversion method was proposed based on illuminant estimation . The white balance decision point of the source camera was converted to the reference camera by decision point conversion, look-up table and classification decision point conversion method. What’s more, the algorithms were evaluated under various light sources by three indexes: white balance chromaticity ratio difference, white point color difference and full-color color difference. The results show that the proposed look-up table and classification decision point conversion method can effectively improve the white balance consistency of multi-camera modules, meet the requirements of mobile imaging system, and guide the module hardware design and selection of multi-camera imaging systems.

     

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