Shimano Noriyuki, Hironaga Mikiya
Department of Informatics, School of Science and Engineering, Kinki University, 3-4-1, Kowakae, Higashi-osaka, Osaka 577-8502, Japan.
J Opt Soc Am A Opt Image Sci Vis. 2010 Feb 1;27(2):251-8. doi: 10.1364/JOSAA.27.000251.
Recovery of spectral reflectances of objects being imaged through the use of sensor responses is important to reproduce color images under various illuminations. Although the Wiener estimation is usually used for the recovery, the recovery performance of the estimation depends on the autocorrelation matrix of the spectral reflectances and the noise present in an image acquisition system. The purpose of the present paper is to show that the Wiener estimation with the noise variance estimated by the previous proposal [IEEE Trans. Image Process. 16, 1848 (2006)] and with the autocorrelation matrix that uses the features of the spectral reflectances recovered by the previous method is very effective in greatly improving the performance.
通过使用传感器响应来恢复被成像物体的光谱反射率对于在各种光照条件下再现彩色图像非常重要。虽然维纳估计通常用于恢复，但该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。本文的目的是表明，采用先前提议[《IEEE图像处理汇刊》16, 1848 (2006)]估计的噪声方差以及使用先前方法恢复的光谱反射率特征的自相关矩阵的维纳估计，在显著提高性能方面非常有效。
