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Multispectral synthesis of daylight using a commercial digital CCD camera

机译：使用商用数字CCD摄像机进行日光的多光谱合成

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Performance of multispectral devices in recovering spectral data has been intensively investigated in some applications, as in spectral characterization of art paintings, but has received little attention in the context of spectral characterization of natural illumination. This study investigated the quality of the spectral estimation of daylight-type illuminants using a commercial digital CCD camera and a set of broadband colored filters. Several recovery algorithms that did not need information about spectral sensitivities of the camera sensors nor eigenvectors to describe the spectra were tested. Tests were carried out both with virtual data, using simulated camera responses, and real data obtained from real measurements. It was found that it is possible to recover daylight spectra with high spectral and colorimetric accuracy with a reduced number of three to nine spectral bands. (c) 2005 Optical Society of America.
机译：在某些应用中，例如在艺术品绘画的光谱表征中，已经对多光谱设备在恢复光谱数据中的性能进行了深入研究，但是在自然照明的光谱表征方面却很少受到关注。这项研究调查了使用商用数字CCD摄像机和一组宽带彩色滤光片对日光型光源光谱估计的质量。测试了几种不需要关于相机传感器的光谱灵敏度信息或特征向量来描述光谱的恢复算法。使用模拟的相机响应对虚拟数据和从真实测量获得的真实数据进行测试。已经发现，可以减少三到九个光谱带，以高光谱和比色法精度恢复日光光谱。 （c）2005年美国眼镜学会。

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