Multispectral Imaging and Color Reproduction

通过使用图像数据恢复被成像的物体的光谱反射率对于在各种照明下再现彩色图像是重要的。虽然维纳估计通常用于恢复，但这种估计的恢复性能取决于光谱反射率的自相关矩阵和图像采集系统中存在的噪声。本研究的目的是表明，维纳估计，使用噪声方差估计的前一个建议和自相关矩阵，使用的功能，恢复的光谱反射率由前一种方法是非常有效的，大大提高了性能。

Recovery of spectral reflectances of objects being imaged through the use of image data is important to reproduce color images under various illuminations. Although the Wiener estimation is usually used for the recovery, but the recovery performance of this estimation depends on the autocorrelation matrix of the spectral reflectances and the noise present in an image acquisition system. The goal of the present study is to show that the Wiener estimation that uses the noise variance estimated by the previous proposal and the autocorrelation matrix that uses the features of the spectral reflectances recovered by the previous method is very effective to greatly improve the performance.