Spectra estimation from raw camera responses based on adaptive local-weighted linear regression

An improved spectral reflectance estimation method is developed to transform raw camera RGB responses to spectral reflectance. The novelty of our method is to apply a local weighted linear regression model for spectral reflectance estimation and construct the weighting matrix using a Gaussian functi...

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Bibliographic Details
Published in:Optics express 2019-02, Vol.27 (4), p.5165-5180
Main Authors: Liang, Jinxing, Xiao, Kaida, Pointer, Michael R, Wan, Xiaoxia, Li, Changjun
Format: Article
Language:English
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Summary:An improved spectral reflectance estimation method is developed to transform raw camera RGB responses to spectral reflectance. The novelty of our method is to apply a local weighted linear regression model for spectral reflectance estimation and construct the weighting matrix using a Gaussian function in CIELAB uniform color space. The proposed method was tested using both a standard color chart and a set of textile samples, with a digital RGB camera and by ten times ten-fold cross-validation. The results demonstrate that our method gives the best accuracy in estimating both the spectral reflectance and the colorimetric values in comparison with existing methods.
ISSN:1094-4087
1094-4087
DOI:10.1364/oe.27.005165