Recovery of spectral reflectances of imaged objects is important to reproduce color images under arbitrary illuminations. In this paper, a new method is proposed to recover spectral reflectances accurately through the use of image data without prior knowledge of the imaged objects. It is shown that the Wiener estimation which uses the noise variance estimated by training samples and the features of the recovered spectral reflectances is effective to improve the recovery performance.
Noriyuki Shimano, Mikiya Hironaga, "A New Proposal for the Accurate Recovery of Spectral Reflectances of Imaged Objects without Prior Knowledge" in Proc. IS&T Archiving 2008, 2008, pp 155 - 158, https://doi.org/10.2352/issn.2168-3204.2008.5.1.art00030