Method and apparatus for estimating a special reflectance distribution or a spectral transmittance distribution using illuminant-independent characteristic parameters

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United States of America Patent

PATENT NO 5864834
SERIAL NO

08409016

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A neural network is made to undergo learning such that at least three characteristic parameters, which correspond to an inputted set of color information values when the set of color information values, including at least three color information values, is inputted and which are obtained by multivariate analysis of the spectral reflectance distribution or the spectral transmittance distribution, are outputted. A subject set of color information values is transformed into the characteristic parameters by using the neural network which has completed learning, and a spectral reflectance distribution or a spectral transmittance distribution is estimated by linear polynomial approximation using the transformed characteristic parameters, eigenvectors obtained by the multivariate analysis, and a mean vector of the spectral reflectance distribution or the spectral transmittance distribution.

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Patent OwnerAddress
TOYO INK MANUFACTURING CO LTD3-13 KYOBASHI 2-CHOME CHUO-KU TOKYO JAPAN

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Arai, Yoshihumi Tokyo, JP 1 30

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