Analysis Multispectral Image Capture
Analysis Multispectral Image Capture
复制标题
分析多光谱图像捕获
DOI：
10.2352/cic.1996.4.1.art00006
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发表时间：
1996
期刊：
影响因子：
--
通讯作者：
R. Berns
中科院分区：
文献类型：
--
作者：
P. Burns;R. Berns
多光谱图像捕获（即，三个以上的通道）有利于更准确的三刺激估计和每个场景像素的光谱重建的可能性。使用由Melles Griot制造的约50 nm带宽的干涉滤光片与Kodak Professional DCS 200 m数码相机一起组装七通道相机。作为说明性示例，记录了Macbeth Colorimeter图表的多通道图像。三种光谱重建方法进行了评估：样条插值，改进的离散正弦变换（MDST）插值，和基于主成分分析（PCA）的方法。光谱重建的准确性进行了量化的光谱和计算CIELAB坐标为一个单一的光源和观察员。PCA为基础的技术导致最好的估计光谱反射率因子函数。将这些结果与不包括光谱重建步骤的最小二乘比色模型进行比较。这种直接映射导致与PCA方法类似的色度性能。与传统的三通道装置相比，多光谱相机有明显的改进。与三通道设备相比，多光谱相机的使用可以显著提高色度精度。1,2
Multispectral image capture (i.e, more than three channels) facilitates both more accurate tristimulus estimation and possibilities for spectral reconstruction of each scene pixel. A seven-channel camera was assembled using approximately 50 nm bandwidth interference filters, manufactured by Melles Griot, in conjunction with a Kodak Professional DCS 200m digital camera. Multichannel images were recorded for the Macbeth ColorChecker chart as an illustrative example. Three methods of spectral reconstruction were evaluated: spline interpolation, modified-discrete-sine-transformation (MDST) interpolation, and an approach based on principal-component analysis (PCA). The spectral reconstruction accuracy was quantified both spectrally and by computing CIELAB coordinates for a single illuminant and observer. The PCA-based technique resulted in the best estimated spectral-reflectance-factor functions. These results were compared with a least-squares colorimetric model that does not include the spectral-reconstruction step. This direct mapping resulted in similar colorimetric performance to the PCA method. The multispectral camera had marked improvement compared with traditional three-channel devices. Techniques The use of multispectral cameras can lead to dramatically improved colorimetric accuracy in comparison with three-channel devices. 1,2