Nieves Juan L, Valero Eva M, Nascimento Sérgio M C, Hernández-Andrés Javier, Romero Javier
Departamento de Optica, Facultad de Ciencias, Universidad de Granada, 18071 Granada, Spain.
Appl Opt. 2005 Sep 20;44(27):5696-703. doi: 10.1364/ao.44.005696.
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.
多光谱设备在恢复光谱数据方面的性能，在一些应用中，如艺术绘画的光谱表征，已经得到了深入研究，但在自然光照光谱表征的背景下却很少受到关注。本研究使用商用数字CCD相机和一组宽带彩色滤光片，研究了日光型光源光谱估计的质量。测试了几种不需要相机传感器光谱灵敏度信息也不需要特征向量来描述光谱的恢复算法。测试既使用虚拟数据（通过模拟相机响应），也使用从实际测量中获得的真实数据。结果发现，使用三到九个减少的光谱带数量，就有可能以高光谱和比色精度恢复日光光谱。
