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Comparative Studies of Two Metameric Black Spectral Dimension Reduction Methods Based on Color Difference Optimization

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Abstract:

Two new metameric black spectral dimension reduction methods based on color difference optimization are presented, and dimension reduction effects are compared in colorimetric and spectral accuracy. The method one decomposes firstly the original spectrum into the basic spectrum and the metameric black spectrum using R-matrix theory, and then determines respectively the basis vectors which express linearly the basic spectrum and the metameric black spectrum. The method two applies firstly the principal component method to the original spectrum to get the first three eigenvectors as basis vectors of the basic spectrum, and then calculates the fundamental spectrum using tristimulus values and basis vectors of original spectrum. Results of experiment show the low-dimensional linear model built by method two can improve spectral and colorimetric accuracy, and satisfy the requirement of spectral color reproduction.

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Periodical:

Applied Mechanics and Materials (Volume 731)

Pages:

120-123

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.731.120

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Online since:

January 2015

Authors:

Song Hua He, Qiao Chen*, Gang Zhang, Jiang Duan

Keywords:

Basic Spectrum, Metameric Black, Spectral Color Reproduction, Spectral Dimension Reduction

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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