基于成像条件校正的光谱重建方法

目的 提出一种基于成像条件校正的光谱重建方法,以实现数码相机面向开放环境的光谱重建应用.方法 以参考白板为成像条件校正的媒介,首先在参考成像条件下建立光谱重建矩阵,然后将开放环境下测量对象的图像向参考成像条件进行转换,最后利用参考成像条件下建立的光谱重建矩阵对测量对象进行光谱重建.结果 以仿真成像系统和开放环境常见光源为基础,利用3组实验样本对方法进行了检验.实验结果表明,3组样本的总体平均光谱误差和色差分别为2.42和2.73.结论 基于成像条件校正的光谱重建方法总体上保持了较好的光谱重建精度,验证了方法的理论有效性.

Spectral Reconstruction Method Based on Imaging Condition Correction

The work aims to propose a spectral reconstruction method based on imaging condition correction to realize the spectral reconstruction application of digital cameras in open environments. The reference whiteboard was used as the medium of imaging condition correction. The spectral reconstruction matrix was firstly established under the reference imaging conditions. Then the digital image of the measurement target was calibrated from the open environment to the reference imaging conditions. Finally, the spectral of the measurement target was re-constructed by the established spectral reconstruction matrix. The proposed method was verified through simulation imaging system, some common light source in open environment and three groups of sample sets. Experiment showed that the overall average spectral error and color difference of the three sample sets were 2.42 and 2.73, respectively. The spectral reconstruction method based on imaging condition correction shows good spectral reconstruction accuracy and proves the theoretical effectiveness of the method.