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Recovery of spectral reflectances of objects being imaged by multispectral cameras
Noriyuki Shimano1, Kenichiro Terai, Mikiya Hironaga
1Department of Informatics, School of Science and Engineering, Kinki University, 3-4-1, Kowakae, Higashi-osaka, Osaka 577-8502, Japan. shimano@info.kindai.ac.jp
Abstract:
Acquisition of spectral information of objects being imaged through the use of sensor responses is important to reproduce color images under various illuminations. In the past several models have been proposed to recover the spectral reflectances from sensor responses. The accuracy of the spectral reflectances recovered by five different models is compared by using multispectral cameras. It is shown that the Wiener estimation that uses the noise variance estimated as proposed in IEEE Trans. Image Process.15, 1848 (2006) recovers the spectral reflectances more accurately than the others when the test samples are different from learning samples.
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