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Determining multispectral or hyperspectral image data

机译:确定多光谱或高光谱图像数据

摘要

This disclosure concerns the determination of electronic multispectral or hyperspectral images, such as by a processor in a camera. The processor receives first image sensor signals that are associated with a first wavelength and with multiple first imaging elements at respective first imaging element locations. The processor determines a spline approximation to the first image sensor signals across the first imaging element locations and determines the multispectral or hyperspectral image data by interpolating the spline approximation at the pixel location. Finally, the image data is stored on a data store. Using splines to interpolate the image sensor signals outperforms other methods, which means increased image quality due to more accurate interpolation. More specifically, using splines leads to a more accurate spectrum at each point and reduced spectral error compared to other methods.
机译:本公开涉及例如通过照相机中的处理器来确定电子多光谱或高光谱图像。处理器在各个第一成像元件位置处接收与第一波长和多个第一成像元件相关的第一图像传感器信号。处理器确定跨第一成像元件位置的对第一图像传感器信号的样条近似,并通过在像素位置处内插样条近似来确定多光谱或高光谱图像数据。最后,图像数据存储在数据存储中。使用样条曲线对图像传感器信号进行插值优于其他方法,这意味着由于插值更加准确而提高了图像质量。更具体地说,与其他方法相比,使用样条曲线可导致每个点的光谱更准确,并减少光谱误差。

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